22.2.8 Face Analysis -- Find and Use Features, Facial Features

Identix,
2006. Facial features for access control.
WWW Link. Vendor, Face Recognition. Part of
See also L1 Identity Solutions.

Kamel, M.S., Shen, H.C., Wong, A.K.C., Hong, T.M., Campeanu, R.I.,
Face Recognition Using Perspective Invariant Features,
PRL(15), No. 9, September 1994, pp. 877-883. BibRef 9409

Samaria, F.S., Young, S.,
HMM-Based Architecture for Face Identification,
IVC(12), No. 8, October 1994, pp. 537-543.
Elsevier DOI BibRef 9410

Samaria, F.S.,
Face Segmentation for Identification using Hidden Markov Models,
BMVC93(399-408).
PDF File. BibRef 9300

Samaria, F.S.[Ferdinando S.], Harter, A.[Andy],
Parameterisation of a Stochastic Model for Human Face Identification,
WACV94(138-142).
IEEE Abstract. BibRef 9400

Samaria, F.S.,
Face Recognition Using Hidden Markov Models,
Ph.D.Thesis, October 1994. BibRef 9410 Cambridge University
PS File. Hidden Markov Models (HMM) for face recognition. Used to encode face features. 40 subjects, 5 training, 5 test, 85% recognition rates. BibRef

Lee, S.Y., Ham, Y.K., Park, R.H.,
Recognition of Human Front Faces Using Knowledge-Based Feature-Extraction and Neuro-Fuzzy Algorithm,
PR(29), No. 11, November 1996, pp. 1863-1876.
Elsevier DOI 9612
BibRef

Kim, S.K.[Sang-Ki], Park, Y.J.[Youn Jung], Toh, K.A.[Kar-Ann], Lee, S.Y.[Sang-Youn],
SVM-based feature extraction for face recognition,
PR(43), No. 8, August 2010, pp. 2871-2881.
Elsevier DOI 1006
Face recognition; Identity verification; Discriminant analysis; Support vector BibRef

Mirhosseini, A.R.[Ali Reza], Yan, H.[Hong], Lam, K.M.[Kin-Man], Pham, T.[Tuan],
Human Face Image Recognition: An Evidence Aggregation Approach,
CVIU(71), No. 2, August 1998, pp. 213-230.
DOI Link BibRef 9808

Mirhosseini, A.R.[Ali Reza], Chen, C.[Catherine], Pham, T.[Tuan], and Yan, H.[Hong],
Human Face Recognition: A Minimal Evidence Approach,
ICCV98(652-659).
IEEE DOI BibRef 9800

Reinders, M.J.T., van Beek, P.J.L., Sankur, B., van der Lubbe, J.C.A.,
Facial feature localization and adaptation of a generic face model for model-based coding,
SP:IC(7), No. 1, March 1995, pp. 57-74.
Elsevier DOI BibRef 9503

Reinders, M.J.T., Koch, R.W.C., Gerbrands, J.J.,
Locating facial features in image sequences using neural networks,
AFGR96(230-235).
IEEE DOI 9610
BibRef

Kalocsai, P., von der Malsburg, C.[Christoph], Horn, J.,
Face recognition by statistical analysis of feature detectors,
IVC(18), No. 4, March 2000, pp. 273-278.
Elsevier DOI 0003
BibRef

Jones, M.J.[Michael J.], Poggio, T.[Tomaso],
Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes,
IJCV(29), No. 2, August-September 1998, pp. 107-131.
DOI Link 0010
BibRef

Jones, M.J.[Michael J.], and Poggio, T.[Tomaso],
Hierarchical Morphable Models,
CVPR98(820-826).
IEEE DOI BibRef 9800
And:
Multidimensional Morphable Models,
ICCV98(683-688).
IEEE DOI BibRef

Hong, B.M.[Bao-Ming], Tang, S.M.[Song-Mei],
An Integrated Face Recognition System Based on Multiscale Local Discriminatory Features,
PAA(4), No. 4 2001, pp. 235-243.
Springer DOI 0202
BibRef

Costen, N.P.[Nicholas P.], Cootes, T.F.[Tim F.], Edwards, G.J.[Gareth J.], Taylor, C.J.[Christopher J.],
Automatic extraction of the face identity-subspace,
IVC(20), No. 5-6, 15 April 2002, pp. 319-329.
Elsevier DOI 0204
BibRef
Earlier: BMVC99(Face Models and Recognition).
PDF File. BibRef
And:
Simultaneous Extraction of Functional Face Sub-spaces,
CVPR99(I: 492-497).
IEEE DOI
See also Compensating for Ensemble-Specific Effects when Building Facial Models. BibRef

Sanderson, C.[Conrad], Paliwal, K.K.[Kuldip K.],
Features for robust face-based identity verification,
SP(83), No. 5, May 2003, pp. 931-940.
Elsevier DOI 0304

See also Noise compensation in a person verification system using face and multiple speech features. BibRef

Sanderson, C.[Conrad], Paliwal, K.K.[Kuldip K.],
Structurally noise resistant classifier for multi-modal person verification,
PRL(24), No. 16, December 2003, pp. 3089-3099.
Elsevier DOI 0310
BibRef

Sanderson, C.[Conrad], Bengio, S.[Samy], Gao, Y.S.[Yong-Sheng],
On transforming statistical models for non-frontal face verification,
PR(39), No. 2, February 2006, pp. 288-302.
Elsevier DOI 0512
BibRef

Sanderson, C.[Conrad], Bengio, S.[Samy],
Statistical transformations of frontal models for non-frontal face verification,
ICIP04(I: 585-588).
IEEE DOI 0505
BibRef
Earlier:
Robust Features for Frontal Face Authentication in Difficult Image Conditions,
AVBPA03(495-504).
Springer DOI 0310
BibRef

Yan, Y.[Yong],
System and method for biometrics-based facial feature extraction,
US_Patent6,526,161, Feb 25, 2003
WWW Link. BibRef 0302

He, X.F.[Xiao-Fei], Yan, S.C.[Shui-Cheng], Hu, Y.X.[Yu-Xiao], Niyogi, P., Zhang, H.J.[Hong-Jiang],
Face Recognition Using Laplacianfaces,
PAMI(27), No. 3, March 2005, pp. 328-340.
IEEE Abstract. 0501
Map into a face subspace. different from PDA/LDA this preserves local information. Laplacianfaces are the optimal linear approximations to the eigenfunctions of the Laplace Beltrami operator on the face manifold. BibRef

Cevikalp, H., Neamtu, M., Wilkes, M., Barkana, A.[Atalay],
Discriminative Common Vectors for Face Recognition,
PAMI(27), No. 1, January 2005, pp. 4-13.
IEEE DOI 0412
BibRef

Cevikalp, H., Wilkes, M.,
Face recognition by using discriminative common vectors,
ICPR04(I: 326-329).
IEEE DOI 0409
BibRef

Koc, M.[Mehmet], Ergin, S.[Semih], Gülmezoglu, M.B.[Mehmet Bilginer], Edizkan, R.[Rifat], Barkana, A.[Atalay],
Use of gradient and normal vectors for face recognition,
IET-IPR(14), No. 10, August 2020, pp. 2121-2129.
DOI Link 2008
BibRef

Wang, L.W.[Li-Wei], Wang, X.[Xiao], Feng, J.F.[Ju-Fu],
Intrapersonal Subspace Analysis with Application to Adaptive Bayesian Face Recognition,
PR(38), No. 4, April 2005, pp. 617-621.
Elsevier DOI 0501
BibRef

Wang, L.W.[Li-Wei], Wang, X.[Xiao], Feng, J.F.[Ju-Fu],
Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition,
PR(39), No. 3, March 2006, pp. 456-464.
Elsevier DOI 0601
More results
See also Further results on the subspace distance. BibRef

Saradha, A., Annadurai, S.,
A Hybrid Feature Extraction Approach for Face Recognition Systems,
GVIP(05), No. V5, 2005, pp. 23-30
HTML Version. BibRef 0500

Abate, A.F.[Andrea F.], Distasi, R.[Riccardo], Nappi, M.[Michele], Riccio, D.[Daniel],
Face authentication using speed fractal technique,
IVC(24), No. 9, September 2006, pp. 977-986.
Elsevier DOI 0608
Face Identification; Fractals; Biometry
See also Ear Recognition by means of a Rotation Invariant Descriptor. BibRef

de Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel],
FARO: FAce Recognition Against Occlusions and Expression Variations,
SMC-A(40), No. 1, January 2010, pp. 121-132.
IEEE DOI 1001
BibRef
Earlier:
Multibiometric People Identification: A Self-tuning Architecture,
ICB09(980-989).
Springer DOI 0906
BibRef
Earlier:
A Self-tuning People Identification System from Split Face Components,
PSIVT09(1-12).
Springer DOI 0901

See also Ear Recognition by means of a Rotation Invariant Descriptor.
See also HERO: Human Ear Recognition against Occlusions. BibRef

de Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel],
Face authentication with undercontrolled pose and illumination,
SIViP(5), No. 4, November 2011, pp. 401-413.
WWW Link. 1111

See also HERO: Human Ear Recognition against Occlusions.
See also NABS: Novel Approaches for Biometric Systems. BibRef

de Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel], Wechsler, H.[Harry],
Robust Face Recognition for Uncontrolled Pose and Illumination Changes,
SMCS(43), No. 1, January 2013, pp. 149-163.
IEEE DOI 1301
BibRef

de Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel], Wechsler, H.[Harry],
Robust Face Recognition After Plastic Surgery Using Region-Based Approaches,
PR(48), No. 4, 2015, pp. 1261-1276.
Elsevier DOI 1502
BibRef
Earlier:
Robust Face Recognition after Plastic Surgery Using Local Region Analysis,
ICIAR11(II: 191-200).
Springer DOI 1106
Face recognition
See also Reliable face recognition using adaptive and robust correlation filters. BibRef

Shastri, B.J.[Bhavin J.], Levine, M.D.[Martin D.],
Face recognition using localized features based on non-negative sparse coding,
MVA(18), No. 2, April 2007, pp. 107-122.
Springer DOI 0704
BibRef

Heisele, B.[Bernd], Serre, T.[Thomas], Poggio, T.,
A Component-based Framework for Face Detection and Identification,
IJCV(74), No. 2, August 2007, pp. 167-181.
Springer DOI 0705
BibRef

Heisele, B., Serre, T., Pontil, M., Poggio, T.,
Component-based Face Detection,
CVPR01(I:657-662).
IEEE DOI 0110
BibRef

Bileschi, S.M., Heisele, B.,
Advances in component based face detection,
AMFG03(149-156).
IEEE DOI 0311
BibRef

Ivanov, Y., Heisele, B., Serre, T.,
Using component features for face recognition,
AFGR04(421-426).
IEEE DOI 0411
BibRef

Meytlis, M.[Marsha], Sirovich, L.[Lawrence],
On the Dimensionality of Face Space,
PAMI(29), No. 7, July 2007, pp. 1262-1267.
IEEE DOI 0706
Experts need a dimensionality of about 100, others 100-200. BibRef

Penev, P.S.[Penio S.], Sirovich, L.[Lawrence],
The Global Dimensionality of Face Space,
AFGR00(264-270).
IEEE DOI 0003
BibRef

Li, Q.[Qi], Ye, J.P.[Jie-Ping], Kambhamettu, C.[Chandra],
Interest point detection using imbalance oriented selection,
PR(41), No. 2, February 2008, pp. 672-688.
Elsevier DOI 0711
Interest point detection; Repeatability; Facial expression BibRef

Meyers, E.[Ethan], Wolf, L.B.[Lior B.],
Using Biologically Inspired Features for Face Processing,
IJCV(76), No. 1, January 2008, pp. 93-104.
Springer DOI 0712
Use low-level features and a face-specific model.
See also Hierarchical models of object recognition in cortex. BibRef

Lin, T.H.[Tzung-Han], Shih, W.P.[Wen-Pin],
Automatic face authentication with self compensation,
IVC(26), No. 6, 1 June 2008, pp. 863-870.
Elsevier DOI 0804
Face recognition; Face authentication; Automatic feature detection; Self compensation BibRef

Mita, T.[Takeshi], Kaneko, T.[Toshimitsu], Stenger, B.[Bjorn], Hori, O.[Osamu],
Discriminative Feature Co-Occurrence Selection for Object Detection,
PAMI(30), No. 7, July 2008, pp. 1257-1269.
IEEE DOI 0806
BibRef

Mita, T.[Takeshi], Kaneko, T.[Toshimitsu], Hori, O.[Osamu],
Joint Haar-like Features for Face Detection,
ICCV05(II: 1619-1626).
IEEE DOI 0510
BibRef

Ichikawa, K., Mita, T., Hori, O.,
Component-based robust face detection using AdaBoost and decision tree,
FGR06(413-420).
IEEE DOI 0604
BibRef

Ghazaei Ardakani, M.M.[M. Mahdi], Baradaran Shokouhi, S.[Shahriar],
Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model,
IEICE(E91-D), No. 7, July 2008, pp. 1863-1870.
DOI Link 0807
BibRef

Shah, A.[Alex], Myers, C.A.[Charles A.],
Image classification and information retrieval over wireless digital networks and the internet,
US_Patent7,428,321, Sep 23, 2008
WWW Link. Mostly the collection of techniques, but does a face comparison to find similar face. BibRef 0809

Kao, W.C.[Wen-Chung], Hsu, M.C.[Ming-Chai], Yang, Y.Y.[Yueh-Yiing],
Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition,
PR(43), No. 5, May 2010, pp. 1736-1747.
Elsevier DOI 1003
Face recognition; Local contrast enhancement; Adaptive feature selection; Support vector machines BibRef

Liu, Z., Yang, J., Liu, C.,
Extracting Multiple Features in the CID Color Space for Face Recognition,
IP(19), No. 9, September 2010, pp. 2502-2509.
IEEE DOI 1008
BibRef

Norouzi, E.[Ehsan], Ahmadabadi, M.N.[Majid Nili], Araabi, B.N.[Babak Nadjar],
Attention control with reinforcement learning for face recognition under partial occlusion,
MVA(22), No. 2, March 2011, pp. 337-348.
WWW Link. 1103
BibRef

Geng, C.[Cong], Jiang, X.D.[Xu-Dong],
Face recognition based on the multi-scale local image structures,
PR(44), No. 10-11, October-November 2011, pp. 2565-2575.
Elsevier DOI 1101
BibRef
Earlier:
Face recognition using sift features,
ICIP09(3313-3316).
IEEE DOI 0911
Face recognition; Feature extraction; Local image structure; Keypoint detection; Image matching; Template selection; Template synthesis BibRef

Geng, C.[Cong], Jiang, X.D.[Xu-Dong],
Fully automatic face recognition framework based on local and global features,
MVA(24), No. 3, April 2013, pp. 537-549.
WWW Link. 1303
BibRef

Deniz, O., Bueno, G., Salido, J., de la Torre, F.,
Face recognition using Histograms of Oriented Gradients,
PRL(32), No. 12, 1 September 2011, pp. 1598-1603.
Elsevier DOI 1108
Face recognition; Histograms of Oriented Gradients; Active Appearance Models BibRef

Jeni, L.A., Girard, J.M., Cohn, J.F., de la Torre, F.[Fernando],
Continuous AU intensity estimation using localized, sparse facial feature space,
FG13(1-7)
IEEE DOI 1309
face recognition BibRef

Wolf, L.B.[Lior B.], Hassner, T.[Tal], Taigman, Y.[Yaniv],
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,
PAMI(33), No. 10, October 2011, pp. 1978-1990.
IEEE DOI 1109
BibRef
Earlier:
Descriptor Based Methods in the Wild,
Faces08(xx-yy). 0810
Using the LFW dataset from UMass. (
See also Labeled faces in the wild: A database for studying face recognition in unconstrained environments. ). Capture statistics of local patch similarities, use unlabeled background samples. BibRef

Wolf, L.B.[Lior B.], Hassner, T.[Tal], Taigman, Y.[Yaniv],
The One-Shot similarity kernel,
ICCV09(897-902).
IEEE DOI 0909
BibRef
And: A3, A1, A2:
Multiple One-shots for Utilizing Class Label Information,
BMVC09(xx-yy).
PDF File. 0909
Face recognition. BibRef

Wang, J.[Jing], Su, G.D.[Guang-Da],
Registration Method of Sparse Representation Classification Method,
IEICE(E95-D), No. 5, May 2012, pp. 1332-1335.
WWW Link. 1202
Face registration before recognition. BibRef

Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Fast multi-scale local phase quantization histogram for face recognition,
PRL(33), No. 13, 1 October 2012, pp. 1761-1767.
Elsevier DOI 1208
Local phase quantization; MLPQ; Adaboost; Linear regression; Feature selection; Face recognition
See also Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern Like Representation. BibRef

He, R.[Ran], Li, S.Z.[Stan Z.], Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai],
Coarse-to-Fine Statistical Shape Model by Bayesian Inference,
ACCV07(I: 54-64).
Springer DOI 0711
BibRef

Zhu, X.X.[Xiang-Xin], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Liu, R.[Rong], Li, S.Z.[Stan Z.],
Feature Correlation Filter for Face Recognition,
ICB07(77-86).
Springer DOI 0708
BibRef

Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Zhu, X.X.[Xiang-Xin], Sun, Z.A.[Zhen-An], Li, S.Z.[Stan Z.], Tan, T.N.[Tie-Niu],
Face Recognition Using Ordinal Features,
ICB06(40-46).
Springer DOI 0601

See also Ordinal Measures for Iris Recognition. BibRef

Datta, M.[Madhura], Murthy, C.A.,
Two dimensional synthetic face generation and verification using set estimation technique,
CVIU(116), No. 9, September 2012, pp. 1022-1031.
Elsevier DOI 1208
Feature extraction; Minimal spanning tree; Intra-class threshold; Set estimation; Inter class feature and intra class feature; PSNR BibRef

Lang, C.Y.[Cong-Yan], Feng, S.H.[Song-He], Chen, B.[Bin], Yuan, X.T.[Xiao-Tong],
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition,
JVCIR(24), No. 2, February 2013, pp. 103-110.
Elsevier DOI 1302
BibRef
Earlier: A1, A3, A2, A4: ICIG11(599-604).
IEEE DOI 1109
Face recognition; Spatial misalignment; Image occlusions; Sparse coding; Misalignment robust; Supervised sparse coding; Dual sparsity; Collective sparse reconstructions BibRef

Matsumoto, M.,
Cognition-based parameter setting of non-linear filters using a face recognition system,
IET-IPR(6), No. 8, 2012, pp. 1057-1063.
DOI Link 1302
BibRef

Kim, D.J.[Dong-Ju], Lee, S.H.[Sang-Heon], Shon, M.K.[Myoung-Kyu],
Centralized Gradient Pattern for Face Recognition,
IEICE(E96-D), No. 3, March 2013, pp. 538-549.
WWW Link. 1303
BibRef

Keum, J.S.[Ji-Soo], Lee, H.S.[Hyon-Soo],
An Improved Face Clustering Method Using Weighted Graph for Matched SIFT Keypoints in Face Region,
IEICE(E96-D), No. 4, April 2013, pp. 967-971.
WWW Link. 1304
BibRef

Huang, S.M., Yang, J.F.,
Subface hidden Markov models coupled with a universal occlusion model for partially occluded face recognition,
IET-Bio(1), No. 3, September 2012, pp. 149-159.
DOI Link 1305
Based on grammatical face models. BibRef

Zhao, X.Y.[Xin-Yue], He, Z.X.[Zai-Xing], Zhang, S.Y.[Shu-You], Kaneko, S.[Shunichi], Satoh, Y.[Yutaka],
Robust face recognition using the GAP feature,
PR(46), No. 10, October 2013, pp. 2647-2657.
Elsevier DOI 1306
Grayscale Arranging Pairs (GAP); Weighting model; Holistic feature; Face recognition BibRef

Dehkordi, M.G.[Masoud Ghaderi], Daliri, M.R.[Mohammad Reza], Ayatollahi, A.[Ahmad], Ayatollahi, F.[Fazael],
Retraction Note: 'Pose invariant face recognition using biological inspired features based on ensemble of classifiers',
JVCIR(25), No. 5, 2014, pp. 1287-.
Elsevier DOI 1406
BibRef
And: Original retracted paper:
Pose invariant face recognition using biological inspired features based on ensemble of classifiers,
JVCIR(24), No. 7, 2013, pp. 968-976.
Elsevier DOI 1309
View-independent face recognition BibRef

Zeng, Q.S.[Qing-Song], Lai, J.H.[Jian-Huang], Wang, C.D.[Chang-Dong],
Multi-local model image set matching based on domain description,
PR(47), No. 2, 2014, pp. 694 - 704.
Elsevier DOI 1311
Multi-local model BibRef

Liu, N.[Na], Lim, M.H.[Meng-Hui], Yuen, P.C.[Pong C.], Lai, J.H.[Jian-Huang],
Image Set-Based Face Recognition: A Local Multi-Keypoint Descriptor-Based Approach,
Biometrics13(160-165)
IEEE DOI 1309
BibRef

Pong, K.H.[Kuong-Hon], Lam, K.M.[Kin-Man],
Multi-resolution feature fusion for face recognition,
PR(47), No. 2, 2014, pp. 556-567.
Elsevier DOI 1311
Multi-resolution face recognition BibRef

Song, F.Y.[Feng-Yi], Tan, X.Y.[Xiao-Yang], Chen, S.C.[Song-Can],
Exploiting relationship between attributes for improved face verification,
CVIU(122), No. 1, 2014, pp. 143-154.
Elsevier DOI 1404
BibRef
Earlier: BMVC12(27).
DOI Link 1301
Attribute relationship graph BibRef

Song, F.Y.[Feng-Yi], Tan, X.Y.[Xiao-Yang],
Learning One-Shot Exemplar SVM from the Web for Face Verification,
ACCV14(III: 408-422).
Springer DOI 1504
BibRef

Wang, L.P.[Li-Ping], Chen, S.C.[Song-Can],
Joint representation classification for collective face recognition,
PR(63), No. 1, 2017, pp. 182-192.
Elsevier DOI 1612
SRC BibRef

Liao, S.[Shu], Shen, D., Chung, A.C.S.[Albert C.S.],
A Markov Random Field Groupwise Registration Framework for Face Recognition,
PAMI(36), No. 4, April 2014, pp. 657-669.
IEEE DOI 1404
Equations BibRef

Liao, S.[Shu], Chung, A.C.S.[Albert C.S.],
A novel Markov random field based deformable model for face recognition,
CVPR10(2675-2682).
IEEE DOI 1006
BibRef
Earlier:
Face recognition with salient local gradient orientation binary patterns,
ICIP09(3317-3320).
IEEE DOI 0911
BibRef
Earlier:
Face Recognition by Using Elongated Local Binary Patterns with Average Maximum Distance Gradient Magnitude,
ACCV07(II: 672-679).
Springer DOI 0711
BibRef

Liao, S.[Shu], Fan, W.[Wei], Chung, A.C.S., Yeung, D.Y.[Dit-Yan],
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features,
ICIP06(665-668).
IEEE DOI 0610
BibRef

Fan, K., Hung, T.,
A Novel Local Pattern Descriptor: Local Vector Pattern in High-Order Derivative Space for Face Recognition,
IP(23), No. 7, July 2014, pp. 2877-2891.
IEEE DOI 1407
Encoding BibRef

Tan, H., Yang, B., Ma, Z.,
Face recognition based on the fusion of global and local HOG features of face images,
IET-CV(8), No. 3, June 2014, pp. 224-234.
DOI Link 1407
BibRef

Chidambaram, C.[Chidambaram], Vieira Neto, H.[Hugo], Dorini, L.E.B.[Leyza Elmeri Baldo], Lopes, H.S.[Heitor Silvério],
Multiple Face Recognition Using Local Features and Swarm Intelligence,
IEICE(E97-D), No. 6, June 2014, pp. 1614-1623.
WWW Link. 1407
BibRef

Li, Y.H.[Yu-Hua], Qi, C.[Chun],
Face recognition using position-dictionaries and region covariance feature,
SIViP(8), No. 6, September 2014, pp. 1139-1147.
WWW Link. 1408
BibRef
Earlier:
Face recognition using Hog feature and group sparse coding,
ICIP13(3350-3353)
IEEE DOI 1402
Hog feature; Standard sparsity; face recognition; group sparse coding BibRef

Faraji, M.R., Qi, X.J.[Xiao-Jun],
Face Recognition under Varying Illumination with Logarithmic Fractal Analysis,
SPLetters(21), No. 12, December 2014, pp. 1457-1461.
IEEE DOI 1410
face recognition BibRef

Faraji, M.R., Qi, X.J.[Xiao-Jun],
Face recognition under illumination variations based on eight local directional patterns,
IET-Bio(4), No. 1, 2015, pp. 10-17.
DOI Link 1506
edge detection BibRef

Faraji, M.R., Qi, X.J.[Xiao-Jun],
Face recognition under varying illumination based on adaptive homomorphic eight local directional patterns,
IET-CV(9), No. 3, 2015, pp. 390-399.
DOI Link 1507
adaptive filters BibRef

Fu, S., He, H., Hou, Z.,
Learning Race from Face: A Survey,
PAMI(36), No. 12, December 2014, pp. 2483-2509.
IEEE DOI 1411
Computational modeling BibRef

Fan, X.[Xin], Wang, H.[Hao], Luo, Z., Li, Y.T.[Yun-Tao], Hu, W., Luo, D.,
Fiducial Facial Point Extraction Using a Novel Projective Invariant,
IP(24), No. 3, March 2015, pp. 1164-1177.
IEEE DOI 1502
Educational institutions BibRef

Wang, H.[Hao], Fan, X.[Xin], Li, Y.T.[Yun-Tao],
Fiducial facial point extraction with cross ratio,
ICIP14(1386-1390)
IEEE DOI 1502
Face BibRef

Leung, H.Y.[Hon-Yin], Cheng, L.M.[Lee-Ming], Li, X.Y.[Xiang Yu],
A FPGA implementation of facial feature extraction,
RealTimeIP(10), No. 1, March 2015, pp. 135-149.
WWW Link. 1503
BibRef

Susan, S., Jain, A., Sharma, A., Verma, S., Jain, S.,
Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision,
IET-IPR(9), No. 11, 2015, pp. 951-958.
DOI Link 1511
decision making BibRef

Wang, Y.L.[Yu-Long], Tang, Y.Y.[Yuan Yan], Li, L.Q.[Luo-Qing],
Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation,
IP(24), No. 12, December 2015, pp. 5868-5878.
IEEE DOI 1512
Cost function BibRef

Wang, Y.L.[Yu-Long], Tang, Y.Y.[Yuan Yan], Li, L.Q.[Luo-Qing],
Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition,
Cyber(47), No. 6, June 2017, pp. 1354-1366.
IEEE DOI 1706
Atomic measurements, Indexes, Matching pursuit algorithms, Noise measurement, Pollution measurement, Probability density function, Robustness, Correntropy, matching pursuit (MP), representation-based classifier (RC), robust recognition, sparse, representation BibRef

Wang, Y.L.[Yu-Long], Tang, Y.Y.[Yuan Yan], Li, L.Q.[Luo-Qing], Chen, H.[Hong],
Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction,
Cyber(50), No. 10, October 2020, pp. 4393-4405.
IEEE DOI 2009
Optimization, Face recognition, Data models, Cybernetics, Face, Laplace equations, Collaboration, Atomic representation (AR), modal regression (MR) BibRef

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Bayesian face recognition using 2D Gaussian-Hermite moments,
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Automatic facial attribute analysis via adaptive sparse representation of random patches,
PRL(68, Part 2), No. 1, 2015, pp. 260-269.
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Soft biometrics BibRef

Sayeed, F.[Farrukh], Hanmandlu, M.[Madasu],
Three information set-based feature types for the recognition of faces,
SIViP(10), No. 1, February 2016, pp. 327-334.
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Theodorakopoulos, I.[Ilias], Economou, G.[George], Fotopoulos, S.[Spiros], Theoharatos, C.[Christos],
Local manifold distance based on neighborhood graph reordering,
PR(53), No. 1, 2016, pp. 195-211.
Elsevier DOI 1602
BibRef
Earlier: A1, A2, A3, Only:
Collaborative Sparse Representation in Dissimilarity Space for Classification of Visual Information,
ISVC13(I:496-506).
Springer DOI 1310
Face recognition. BibRef

Theodorakopoulos, I.[Ilias], Rigas, I.[Ioannis], Economou, G.[George], Fotopoulos, S.[Spiros],
Face recognition via local sparse coding,
ICCV11(1647-1652).
IEEE DOI 1201
Part-based sparse coding. BibRef

Li, J.[Jing], Sang, N.[Nong], Gao, C.X.[Chang-Xin],
LEDTD: Local edge direction and texture descriptor for face recognition,
SP:IC(41), No. 1, 2016, pp. 40-45.
Elsevier DOI 1602
Face recognition BibRef

Balasubramanian, Y., Sivasankaran, K., Krishraj, S.P.,
Forensic video solution using facial feature-based synoptic Video Footage Record,
IET-CV(10), No. 4, 2016, pp. 315-320.
DOI Link 1608
digital forensics BibRef

Xuan, S.B.[Shi-Bin], Xiang, S.L.[Shuen-Ling], Ma, H.Y.[Hai-Ying],
Subclass representation-based face-recognition algorithm derived from the structure scatter of training samples,
IET-CV(10), No. 6, 2016, pp. 493-502.
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computational complexity. BibRef

Tai, Y.[Ying], Yang, J.[Jian], Zhang, Y., Luo, L.[Lei], Qian, J.J.[Jian-Jun], Chen, Y.,
Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression,
IP(25), No. 6, June 2016, pp. 2673-2683.
IEEE DOI 1605
Collaboration BibRef

Chen, Y., Qian, J.J.[Jian-Jun], Yang, J.[Jian], Jin, Z.[Zhong],
Face alignment with Cascaded Bidirectional LSTM Neural Networks,
ICPR16(313-318)
IEEE DOI 1705
Computer architecture, Face, Feature extraction, Logic gates, Neural networks, Shape, Training, Face alignment, bidirectional LSTM, cascaded, structure BibRef

Tai, Y.[Ying], Qian, J.J.[Jian-Jun], Yang, J.[Jian], Jin, Z.[Zhong],
Face Recognition with Image Misalignment via Structure Constraint Coding,
HIS14(558-573).
Springer DOI 1504
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Tang, Z.J.[Zhi-Jie], Wu, X.C.[Xiao-Cheng], Leng, X.N.[Xin-Nan], Chen, W.W.[Wei-Wei],
A Fast Face Recognition Method Based on Fractal Coding,
SIViP(11), No. 7, October 2017, pp. 1221-1228.
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Aslam, M.[Murtaza], Rajbdad, F.[Fozia], Khattak, S.[Shahid], Azmat, S.[Shoaib],
Automatic measurement of anthropometric dimensions using frontal and lateral silhouettes,
IET-CV(11), No. 6, September 2017, pp. 434-447.
DOI Link 1709
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Taheri, M.[Motahareh],
Robust face recognition via non-linear correlation filter bank,
IET-IPR(12), No. 3, March 2018, pp. 408-415.
DOI Link 1802
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Zhang, L., Dou, P., Kakadiaris, I.A.,
Patch-Based Face Recognition Using a Hierarchical Multi-Label Matcher,
IVC(73), 2018, pp. 28-39.
Elsevier DOI 1805
Face recognition, Convolutional neural network, Hierarchical multi-label classification BibRef

Fukui, H.[Hiroshi], Yamashita, T.[Takayoshi], Yamauchi, Y.J.[Yu-Ji], Fujiyoshi, H.[Hironobu], Murase, H.[Hiroshi],
Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate,
IEICE(E101-D), No. 5, May 2018, pp. 1222-1231.
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Fukui, H.[Hiroshi], Yamashita, T.[Takayoshi], Kato, Y.[Yuu], Matsui, R.[Ryo], Ogata, T., Yamauchi, Y.J.[Yu-Ji], Fujiyoshi, H.[Hironobu],
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,
WFI16(II: 392-406).
Springer DOI 1704
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Li, J.S.[Jian-Shu], Zhao, F., Feng, J.S.[Jia-Shi], Roy, S.[Sujoy], Yan, S.C.[Shui-Cheng], Sim, T.[Terence],
Landmark Free Face Attribute Prediction,
IP(27), No. 9, September 2018, pp. 4651-4662.
IEEE DOI 1807
face recognition, feature extraction, learning (artificial intelligence), AFFAIR, transformation learning BibRef

Duan, X.D.[Xiao-Dong], Tan, Z.H.[Zheng-Hua],
A spatial self-similarity based feature learning method for face recognition under varying poses,
PRL(111), 2018, pp. 109-116.
Elsevier DOI 1808
BibRef
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Local feature learning for face recognition under varying poses,
ICIP15(2905-2909)
IEEE DOI 1512
Face recognition, Pose invariant, Feature learning, Self-similarity.
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Choi, J.Y.[Jae Young],
Spatial pyramid face feature representation and weighted dissimilarity matching for improved face recognition,
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Vipparthi, S.K., Murala, S., Gonde, A.B.[Anil Balaji], Wu, Q.M.J.[Q.M. Jonathan],
Local directional mask maximum edge patterns for image retrieval and face recognition,
IET-CV(10), No. 3, 2016, pp. 182-192.
DOI Link 1604
face recognition BibRef

Galshetwar, G.M., Waghmare, L.M., Gonde, A.B., Murala, S.,
Multi-dimensional multi-directional mask maximum edge pattern for bio-medical image retrieval,
MultInfoRetr(8), No. 4, November 2018, pp. 231-239.
Springer DOI 1812
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Abbad, A.[Abdelghafour], Elharrouss, O.[Omar], Abbad, K.[Khalid], Tairi, H.[Hamid],
Application of MEEMD in post-processing of dimensionality reduction methods for face recognition,
IET-Bio(8), No. 1, January 2019, pp. 59-68.
DOI Link 1901
BibRef
Earlier: A1, A3, A4, Only:
Face Recognition Based on City-Block and Mahalanobis Cosine Distance,
CGiV16(112-114)
IEEE DOI 1608
face recognition BibRef

Jang, J., Cho, H., Kim, J., Lee, J., Yang, S.,
Facial Attribute Recognition by Recurrent Learning With Visual Fixation,
Cyber(49), No. 2, February 2019, pp. 616-625.
IEEE DOI 1901
Face recognition, Visualization, Facial features, Image recognition, Feature extraction, Face, Observers, visual fixation BibRef

Deng, W.H.[Wei-Hong], Hu, J.[Jiani], Guo, J.[Jun],
Compressive Binary Patterns: Designing a Robust Binary Face Descriptor with Random-Field Eigenfilters,
PAMI(41), No. 3, March 2019, pp. 758-767.
IEEE DOI 1902
Robustness, Binary codes, Face, Image coding, Histograms, Degradation, Correlation, Face Recognition, local binary patterns, face descriptor BibRef

Sethi, A.[Akshay], Singh, M.[Maneet], Singh, R.[Richa], Vatsa, M.[Mayank],
Residual Codean Autoencoder for Facial Attribute Analysis,
PRL(119), 2019, pp. 157-165.
Elsevier DOI 1902
Attribute prediction, Cosine similarity, Residual learning, Deep learning, Autoencoder BibRef

Kagawade, V.C.[Vishwanath C.], Angadi, S.A.[Shanmukhappa A.],
Multi-directional local gradient descriptor: A new feature descriptor for face recognition,
IVC(83-84), 2019, pp. 39-50.
Elsevier DOI 1904
Gradient features, Face representation, Symbolic data objects, Viola-Jones, Binary pattern BibRef

Cevik, N.[Nazife], Cevik, T.[Taner], Gurhanll, A.[Ahmet],
Novel multispectral face descriptor using orthogonal walsh codes,
IET-IPR(13), No. 7, 30 May 2019, pp. 1097-1104.
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Wei, Z., Liu, S., Sun, Y., Ling, H.,
Accurate Facial Image Parsing at Real-Time Speed,
IP(28), No. 9, Sep. 2019, pp. 4659-4670.
IEEE DOI 1908
face recognition, image classification, learning (artificial intelligence), statistical analysis, deep learning BibRef

Afifi, M.[Mahmoud], Abdelhamed, A.[Abdelrahman],
AFIF4: Deep gender classification based on AdaBoost-based fusion of isolated facial features and foggy faces,
JVCIR(62), 2019, pp. 77-86.
Elsevier DOI 1908
Gender classification, Deep convolutional neural networks, Face image dataset BibRef

Gao, Q.[Qian], Shen, C.[Chong], Zhang, K.[Kun],
The novel part-based cascaded regression algorithm research combining with pose estimation,
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Springer DOI 1908
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Jiang, M.[Min], Shang, Y.Y.[Yuan-Yuan], Guo, G.D.[Guo-Dong],
On visual BMI analysis from facial images,
IVC(89), 2019, pp. 183-196.
Elsevier DOI 1909
Visual BMI estimation, Facial images, Facial representations, FIW-BMI database BibRef

Liao, M.M.[Meng-Meng], Gu, X.D.[Xiao-Dong],
Face recognition algorithm based on feature descriptor and weighted linear sparse representation,
IET-IPR(13), No. 12, October 2019, pp. 2281-2293.
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Hsia, S.C.[Shih-Chang], Wang, S.H.[Szu-Hong], Chen, C.J.[Chia-Jung],
Fast search real-time face recognition based on DCT coefficients distribution,
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DOI Link 2002
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Zheng, X.[Xin], Huang, H.B.[Huai-Bo], Guo, Y.Q.[Yan-Qing], Wang, B.[Bo], He, R.[Ran],
BLAN: Bi-directional ladder attentive network for facial attribute prediction,
PR(100), 2020, pp. 107155.
Elsevier DOI 2005
Deep facial attribute prediction, Bi-directional ladder attentive network (BLAN), Adaptive score fusion BibRef

Zheng, X.[Xin], Guo, Y.Q.[Yan-Qing], Huang, H.B.[Huai-Bo], Li, Y.[Yi], He, R.[Ran],
A Survey of Deep Facial Attribute Analysis,
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Springer DOI 2008
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Zhang, M.[Ming], Khan, S.[Sheheryar], Yan, H.[Hong],
Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter learning,
PR(100), 2020, pp. 107176.
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Deep eigen-filters, Convolution kernels, Face recognition, Convolutional neural networks, Feature representation BibRef

Yu, C., Zhu, X., Lei, Z., Li, S.Z.,
Out-of-Distribution Detection for Reliable Face Recognition,
SPLetters(27), 2020, pp. 710-714.
IEEE DOI 2005
Uncertainty, Face recognition, Face, Training, Feature extraction, Testing, Detectors, Face recognition, low-quality, non-face, out-of-distribution detection BibRef

Guo, J., Zhu, X., Zhao, C., Cao, D., Lei, Z., Li, S.Z.,
Learning Meta Face Recognition in Unseen Domains,
CVPR20(6162-6171)
IEEE DOI 2008
Face recognition, Face, Training, Task analysis, Probes, Optimization, Benchmark testing BibRef

Liu, S.G.[Shi-Gang], Wang, Y.H.[Yu-Hong], Wu, X.S.[Xiao-Sheng], Li, J.[Jun], Lei, T.[Tao],
Star-Discriminative dictionary learning algorithm based on sample diversity and locality of atoms for face recognition,
JVCIR(71), 2020, pp. 102763.
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Dictionary learning, Face recognition, Locality constrained, Sample diversity BibRef

Huang, C.[Chen], Li, Y.N.[Yi-Ning], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Deep Imbalanced Learning for Face Recognition and Attribute Prediction,
PAMI(42), No. 11, November 2020, pp. 2781-2794.
IEEE DOI 2010
Face, Face recognition, Training, Task analysis, Protocols, Semantics, Image segmentation, Imbalanced learning, attribute prediction BibRef

Mo, D.M.[Dong-Mei], Lai, Z.H.[Zhi-Hui], Wang, X.Z.[Xi-Zhao], Wong, W.K.[Wai-Keung],
Jointly Sparse Locality Regression for Image Feature Extraction,
MultMed(22), No. 11, November 2020, pp. 2873-2888.
IEEE DOI 2010
Feature extraction, Face recognition, Manifolds, Minimization, Linear discriminant analysis, Convergence, Redundancy, Regression, joint sparsity BibRef

Mahbub, U., Sarkar, S., Chellappa, R.,
Segment-Based Methods for Facial Attribute Detection from Partial Faces,
AffCom(11), No. 4, October 2020, pp. 601-613.
IEEE DOI 2011
Training, Task analysis, Image segmentation, Feature extraction, Hair, Computer architecture, Detection algorithms, local to global decision propagation BibRef

Kalayeh, M.M.[Mahdi M.], Shah, M.[Mubarak],
On Symbiosis of Attribute Prediction and Semantic Segmentation,
PAMI(43), No. 5, May 2021, pp. 1620-1635.
IEEE DOI 2104
Semantics, Task analysis, Image segmentation, Facial features, Face, Training, Dogs, Attribute prediction, semantic segmentation, person attributes BibRef

Kalayeh, M.M., Gong, B., Shah, M.,
Improving Facial Attribute Prediction Using Semantic Segmentation,
CVPR17(4227-4235)
IEEE DOI 1711
Convolution, Face, Feature extraction, Image segmentation, Predictive models, Semantics BibRef

Koley, S.[Subhadeep], Roy, H.[Hiranmoy], Bhattacharjee, D.[Debotosh],
Gammadion binary pattern of Shearlet coefficients (GBPSC): An illumination-invariant heterogeneous face descriptor,
PRL(145), 2021, pp. 30-36.
Elsevier DOI 2104
Gammadion binary pattern, Illumination-invariance, Face descriptor, Modality-invariant feature BibRef

Suri, S.[Saksham], Sankaran, A.[Anush], Vatsa, M.[Mayank], Singh, R.[Richa],
Improving face recognition performance using TeCS2 dictionary,
PRL(145), 2021, pp. 88-95.
Elsevier DOI 2104
Face Recognition, Dictionary Learning, Deep Learning, Plastic Surgery, Disguised Faces BibRef

Wan, J.W.[Jian-Wu], Chen, Y.J.[Yin-Juan], Bai, B.[Bing],
Joint feature extraction and classification in a unified framework for cost-sensitive face recognition,
PR(115), 2021, pp. 107927.
Elsevier DOI 2104
Cost-sensitive, Feature extraction, Classification, Face recognition BibRef

Hao, M.[Min], Liu, G.Y.[Guang-Yuan], Xie, D.S.[De-Sheng],
Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier,
IET-IPR(15), No. 8, 2021, pp. 1617-1628.
DOI Link 2106
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Liang, Z.X.[Ze-Xiao], Guo, S.Z.[Shao-Zhi], Liu, D.K.[Da-Kang], Li, J.Z.[Jian-Zhong],
Spectral clustering based on high-frequency texture components for face datasets,
IET-IPR(15), No. 10, 2021, pp. 2240-2246.
DOI Link 2108
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Yang, S.[Shuai], Hu, Y.Y.[Yue-Yu], Yang, W.H.[Wen-Han], Duan, L.Y.[Ling-Yu], Liu, J.Y.[Jia-Ying],
Towards Coding for Human and Machine Vision: Scalable Face Image Coding,
MultMed(23), 2021, pp. 2957-2971.
IEEE DOI 2109
Image coding, Machine vision, Task analysis, Image reconstruction, Visualization, Feature extraction, Image color analysis, video coding for machine BibRef

Te, G.[Gusi], Hu, W.[Wei], Liu, Y.L.[Ying-Lu], Shi, H.L.[Hai-Lin], Mei, T.[Tao],
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing,
IP(30), 2021, pp. 8236-8250.
IEEE DOI 2110
BibRef
Earlier: A1, A3, A2, A4, A5:
Edge-aware Graph Representation Learning and Reasoning for Face Parsing,
ECCV20(XII: 258-274).
Springer DOI 2010
Faces, Semantics, Image segmentation, Cognition, Feature extraction, Correlation, Image edge detection, Face parsing, graph reasoning BibRef

Liu, Y.[Yuchi], Shi, H.L.[Hai-Lin], Du, H.[Hang], Zhu, R.[Rui], Wang, J.[Jun], Zheng, L.[Liang], Mei, T.[Tao],
Boosting Semi-Supervised Face Recognition With Noise Robustness,
CirSysVideo(32), No. 2, February 2022, pp. 778-787.
IEEE DOI 2202
Noise measurement, Face recognition, Training, Labeling, Semisupervised learning, Benchmark testing, Training data, noisy label learning BibRef

Drozdowski, P.[Pawel], Stockhardt, F.[Fabian], Rathgeb, C.[Christian], Busch, C.[Christoph],
Signal-level fusion for indexing and retrieval of facial biometric data,
IET-Bio(11), No. 2, 2022, pp. 141-156.
DOI Link 2202
biometric identification, computational workload reduction, face recognition, indexing, information fusion, morphing BibRef

Shen, Y.J.[Yu-Jun], Yang, C.[Ceyuan], Tang, X.[Xiaoou], Zhou, B.[Bolei],
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs,
PAMI(44), No. 4, April 2022, pp. 2004-2018.
IEEE DOI 2203
Semantics, Faces, Generative adversarial networks, Generators, Aerospace electronics, Facial features, disentanglement BibRef

Ke, X.[Xiao], Lin, B.H.[Bing-Hui], Guo, W.Z.[Wen-Zhong],
LocalFace: Learning significant local features for deep face recognition,
IVC(123), 2022, pp. 104484.
Elsevier DOI 2206
Face recognition, ArcFace, Channel attention, Deep learning BibRef

Hmani, M.A.[Mohamed Amine], Petrovska-Delacrétaz, D.[Dijana], Dorizzi, B.[Bernadette],
Locality preserving binary face representations using auto-encoders,
IET-Bio(11), No. 5, 2022, pp. 445-458.
DOI Link 2210
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Liu, N.[Na], Zhang, F.[Fan], Chang, L.[Liang], Duan, F.Q.[Fu-Qing],
Facial attribute classification by deep mining inter-attribute correlations,
IET-CV(17), No. 3, 2023, pp. 352-365.
DOI Link 2305
image classification, image processing, image recognition BibRef

Dai, Y.[Yi], Sun, K.[Kai], Huang, W.[Wei], Zhang, D.W.[Da-Wei], Dai, G.J.[Gao-Jie],
Attention-based hierarchical pyramid feature fusion structure for efficient face recognition,
IET-IPR(17), No. 8, 2023, pp. 2399-2409.
DOI Link 2306
face recognition, feature extraction BibRef

Yan, Y.[Yan], Shu, Y.[Ying], Chen, S.[Si], Xue, J.H.[Jing-Hao], Shen, C.H.[Chun-Hua], Wang, H.Z.[Han-Zi],
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data,
IJCV(131), No. 8, August 2023, pp. 2097-2121.
Springer DOI 2307
BibRef
Earlier: A2, A1, A3, A4, A5, A6:
Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data,
CVPR21(11911-11920)
IEEE DOI 2111
Training, Deep learning, Image segmentation, Face recognition, Computational modeling, Semantics BibRef

Danh, N.V.[Nguyen Van], Trong, V.H.[Vo Hoang], Bao, P.T.[Pham The],
Developing a late fusion of multi facial components for facial recognition with a voting method and global weights,
IJCVR(13), No. 6, 2023, pp. 619-640.
DOI Link 2310
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Chen, S.[Si], Zhu, X.[Xueyan], Yan, Y.[Yan], Zhu, S.Z.[Shun-Zhi], Li, S.Z.[Shao-Zi], Wang, D.H.[Da-Han],
Identity-Aware Contrastive Knowledge Distillation for Facial Attribute Recognition,
CirSysVideo(33), No. 10, October 2023, pp. 5692-5706.
IEEE DOI 2310
BibRef

Sun, Z.Z.[Zheng-Zheng], Tian, L.F.[Lian-Fang], Du, Q.L.[Qi-Liang], Liao, W.Z.[Wen-Zhi], Wang, Z.L.[Zhao-Lin],
Adaptive Anchor Matching Strategy for Face Detection,
CirSysVideo(33), No. 10, October 2023, pp. 5764-5777.
IEEE DOI 2310
BibRef

Divya, A., Raja, K.B., Venugopal, K.R.,
An optimised local feature compression using statistical and structural approach for face recognition,
IJCVR(13), No. 5, 2023, pp. 469-496.
DOI Link 2310
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Wang, C.Z.[Chang-Zhong], Pei, S.B.[Shi-Bing], Lv, X.[Xiang], Ding, W.P.[Wei-Ping],
Multiscale collaborative representation for face recognition via class-information fusion,
PR(154), 2024, pp. 110586.
Elsevier DOI 2406
Multiscale patch collaborative representation. Face recognition, Collaborative representation, Multi-scale patch, Information fusion, Class information BibRef

Kawai, H.[Hiroya], Ito, K.[Koichi], Chen, H.T.[Hwann-Tzong], Aoki, T.[Takafumi],
FSErasing: Improving Face Recognition with Data Augmentation Using Face Parsing,
IET-Bio(2024), No. 1, 2024, pp. 6663315.
DOI Link 2406
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Algaraawi, N.[Nora], Morris, T.[Tim], Cootes, T.F.[Timothy F.],
Facial feature point detection under large range of face deformations,
JVCIR(103), 2024, pp. 104264.
Elsevier DOI 2409
Facial feature point detection, Random forest regression voting in a constrained local model (RFRV-CLM), Expressions effect on feature localization BibRef

Wang, H.Y.[Hao-Yu], Song, H.Y.[Hai-Yu], Li, P.H.[Pei-Hong],
Multi-task network with inter-task consistency learning for face parsing and facial expression recognition at real-time speed,
JVCIR(103), 2024, pp. 104213.
Elsevier DOI 2409
Multi-task network, Face parsing, Real-time inference, Facial expression recognition BibRef

Wang, Z.[Zhuo], Zhao, S.[SuWen], Guo, W.[WanYi],
Knowledge distillation of face recognition via attention cosine similarity review,
IET-CV(18), No. 7, 2024, pp. 875-887.
DOI Link 2411
convolutional neural nets, face recognition BibRef

Gündogdu, E.[Emircan], Unal, A.[Altay], Unal, G.[Gozde],
A Study Regarding Machine Unlearning on Facial Attribute Data,
FG24(1-5)
IEEE DOI Code:
WWW Link. 2408
Training, Data privacy, Codes, Face recognition, Legislation, Focusing, Machine learning BibRef

Ma, J.L.[Jia-Li], Yue, Z.Q.[Zhong-Qi], Tomoyuki, K.[Kagaya], Tomoki, S.[Suzuki], Jayashree, K.[Karlekar], Pranata, S.[Sugiri], Zhang, H.W.[Han-Wang],
Invariant Feature Regularization for Fair Face Recognition,
ICCV23(20804-20813)
IEEE DOI Code:
WWW Link. 2401
BibRef

Usami, M.[Masashi], Takahashi, K.[Koichi], Hayasaka, A.[Akihiro],
Imbalance-Aware Adaptive Margin Loss for Fair Multi-Label Face Attribute Recognition,
ICIP23(1465-1469)
IEEE DOI 2312
BibRef

Ammar, H.[Hejer], Loesch, A.[Angelique], Vannier, C.[Corentin], Audigier, R.[Romaric],
Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels?,
ICIP23(1725-1729)
IEEE DOI 2312
BibRef

Wang, Z.B.[Zhi-Bo], Wang, H.[He], Jin, S.[Shuaifan], Zhang, W.W.[Wen-Wen], Hut, J.[Jiahui], Wang, Y.[Yan], Sun, P.[Peng], Yuan, W.[Wei], Liu, K.X.[Kai-Xin], Rent, K.[Kui],
Privacy-preserving Adversarial Facial Features,
CVPR23(8212-8221)
IEEE DOI 2309
BibRef

Li, J.Z.[Jia-Zhi], Abd-Almageed, W.[Wael],
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification,
Scarce22(363-381).
Springer DOI 2304
BibRef

Li, K.[Kunyan], Zhang, J.[Jie], Shan, S.G.[Shi-Guang],
Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data,
FG21(1-8)
IEEE DOI 2303
Representation learning, Image recognition, Shape, Face recognition, Lead, Task analysis BibRef

Lingenfelter, B.[Bryson], Hand, E.M.[Emily M.],
Improving Evaluation of Facial Attribute Prediction Models,
FG21(1-7)
IEEE DOI 2303
Measurement, Computational modeling, Face recognition, Gesture recognition, Predictive models, Data models, Reliability BibRef

Boutros, F.[Fadi], Klemt, M.[Marcel], Fang, M.L.[Mei-Ling], Kuijper, A.[Arjan], Damer, N.[Naser],
Unsupervised Face Recognition using Unlabeled Synthetic Data,
FG23(1-8)
IEEE DOI 2303
Training, Data privacy, Technological innovation, Image color analysis, Face recognition, Pipelines, Neural networks BibRef

Wang, T.H.[Tian-Hao], Zhang, M.Y.[Ming-Yue], Shang, L.[Lin],
DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features,
FG23(1-8)
IEEE DOI 2303
Image recognition, Face recognition, Interference, Gesture recognition, Feature extraction, Decoding, Task analysis BibRef

Dapogny, A.[Arnaud], Tallec, G.[Gauthier], Bonnard, J.[Jules], Yvinec, E.[Edouard], Bailly, K.[Kévin],
Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction,
FG23(1-8)
IEEE DOI 2303
Correlation, Databases, Face recognition, Semantics, Gesture recognition, Multitasking, Task analysis BibRef

Chen, S.[Si], Zhu, X.Y.[Xue-Yan], Wang, D.H.[Da-Han], Zhu, S.Z.[Shun-Zhi], Wu, Y.[Yun],
Multi-Zone Transformer Based on Self-Distillation for Facial Attribute Recognition,
FG23(1-7)
IEEE DOI 2303
Current transformers, Face recognition, Gesture recognition, Task analysis, Facial features BibRef

Ren, X.Y.[Xing-Yu], Lattas, A.[Alexandros], Gecer, B.[Baris], Deng, J.K.[Jian-Kang], Ma, C.[Chao], Yang, X.K.[Xiao-Kang],
Facial Geometric Detail Recovery via Implicit Representation,
FG23(1-8)
IEEE DOI 2303
Geometry, Solid modeling, Shape, Face recognition, Pipelines, Rendering (computer graphics) BibRef

Saha, S.[Somrita], Biswas, A.[Arindam],
Face Characterization Using Convex Surface Decomposition,
IWCIA22(288-300).
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Yu, J.H.[Jian-Hui], Zhu, H.[Hao], Jiang, L.M.[Li-Ming], Loy, C.C.[Chen Change], Cai, W.D.[Wei-Dong], Wu, W.[Wayne],
CelebV-Text: A Large-Scale Facial Text-Video Dataset,
CVPR23(14805-14814)
IEEE DOI 2309
Dataset, Facial Features. BibRef

Zhu, H.[Hao], Wu, W.[Wayne], Zhu, W.T.[Wen-Tao], Jiang, L.M.[Li-Ming], Tang, S.W.[Si-Wei], Zhang, L.[Li], Liu, Z.W.[Zi-Wei], Loy, C.C.[Chen Change],
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset,
ECCV22(VII:650-667).
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Dataset, Facial Features. BibRef

Lin, X.F.[Xiao-Feng], Kim, S.[Seungbae], Joo, J.[Jungseock],
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification,
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Hassani, A.[Ali], El Shair, Z.[Zaid], Ud Duala Refat, R.[Rafi], Malik, H.[Hafiz],
Distilling Facial Knowledge with Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition,
ICIP22(741-745)
IEEE DOI 2211
Knowledge engineering, Biometrics (access control), Forensics, Companies, Benchmark testing, Robustness, Face-Recognition, Knowledge-Distillation BibRef

Zheng, Y.L.[Ying-Lin], Yang, H.[Hao], Zhang, T.[Ting], Bao, J.M.[Jian-Min], Chen, D.D.[Dong-Dong], Huang, Y.[Yangyu], Yuan, L.[Lu], Chen, D.[Dong], Zeng, M.[Ming], Wen, F.[Fang],
General Facial Representation Learning in a Visual-Linguistic Manner,
CVPR22(18676-18688)
IEEE DOI 2210
Representation learning, Analytical models, Face recognition, Computational modeling, Design methodology, Semantics, Vision+language BibRef

Zheng, Q.P.[Qing-Ping], Deng, J.K.[Jian-Kang], Zhu, Z.[Zheng], Li, Y.[Ying], Zafeiriou, S.P.[Stefanos P.],
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing,
CVPR22(4146-4155)
IEEE DOI 2210
Training, Learning systems, Face recognition, Image edge detection, Semantics, Multitasking, Noise measurement, Face and gestures, Self- semi- meta- unsupervised learning BibRef

Chong, M.J.[Min Jin], Chu, W.S.[Wen-Sheng], Kumar, A.[Abhishek], Forsyth, D.A.[David A.],
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval,
ICCV21(3867-3876)
IEEE DOI 2203
Hair, Codes, Art, Statistical analysis, Nose, Mouth, Faces, Computational photography, Image and video retrieval, Neural generative models BibRef

Chatziagapi, A.[Aggelina], Athar, S.[ShahRukh], Moreno-Noguer, F.[Francesc], Samaras, D.[Dimitris],
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery,
3DV21(815-824)
IEEE DOI 2201
Geometry, Hair, Solid modeling, Shape, Optimization methods, Lighting BibRef

Xu, R.S.[Ru-Shuang], Cho, M.A.[Myeong-Ah], Lee, S.Y.[Sang-Youn],
A Heterogeneous Face Recognition Via Part Adaptive and Relation Attention Module,
ICIP21(2983-2987)
IEEE DOI 2201
Adaptation models, Image recognition, Databases, Face recognition, Surveillance, Semantics, Lighting, Heterogeneous face recognition, attention module BibRef

Zheng, Y.T.[Yu-Tong], Huang, Y.K.[Yu-Kai], Tao, R.[Ran], Shen, Z.Q.[Zhi-Qiang], Savvides, M.[Marios],
Unsupervised Disentanglement of Linear-Encoded Facial Semantics,
CVPR21(3916-3925)
IEEE DOI 2111
Couplings, Extrapolation, Semantics, Linear regression, Reconstruction algorithms BibRef

Xu, Y.H.[Ying-Hao], Shen, Y.J.[Yu-Jun], Zhu, J.P.[Jia-Peng], Yang, C.[Ceyuan], Zhou, B.[Bolei],
Generative Hierarchical Features from Synthesizing Images,
CVPR21(4430-4430)
IEEE DOI 2111
Visualization, Image synthesis, Face recognition, Layout, Generative adversarial networks, Feature extraction BibRef

Yang, G.X.[Guo-Xing], Fei, N.[Nanyi], Ding, M.Y.[Ming-Yu], Liu, G.Z.[Guang-Zhen], Lu, Z.W.[Zhi-Wu], Xiang, T.[Tao],
L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing,
CVPR21(2950-2959)
IEEE DOI 2111
Codes, Semantics, Transformers, Facial features, Faces BibRef

Han, J.[Jian], Karaoglu, S.[Sezer], Le, H.A.[Hoang-An], Gevers, T.[Theo],
Object features and face detection performance: Analyses with 3D-rendered synthetic data,
ICPR21(9959-9966)
IEEE DOI 2105
Face recognition, Detectors, Feature extraction, Generators, Performance analysis, Face detection BibRef

Ning, X.[Xin], Li, W.J.[Wei-Jun], Dong, X.L.[Xiao-Li], Xu, S.H.[Shao-Hui], Nan, F.Z.[Fang-Zhe], Yao, Y.Z.[Yuan-Zhou],
Continuous Learning of Face Attribute Synthesis,
ICPR21(4282-4289)
IEEE DOI 2105
Learning systems, Face recognition, Process control, Interference, Feature extraction, Generative adversarial networks, face attribute BibRef

Arachchilage, S.W.[Samadhi Wickrama], Izauierdo, E.[Ebroul],
Clusterface: Joint Clustering and Classification for Set-Based Face Recognition,
ICPR21(1781-1787)
IEEE DOI 2105
Deep learning, Face recognition, Lighting, Reliability, Task analysis, Faces, Facial features BibRef

Wen, Z.W.[Zhi-Wei], Wu, H.Q.[Hao-Qian], Xie, W.C.[Wei-Cheng], Shen, L.L.[Lin-Lin],
Group-wise Feature Orthogonalization and Suppression for GAN based Facial Attribute Translation,
ICPR21(3767-3774)
IEEE DOI 2105
Correlation, Face recognition, Semantics, Clustering algorithms, Generative adversarial networks, Encoding, Facial features BibRef

Diniz, M.A., Schwartz, W.R.[William Robson],
Face Attributes as Cues for Deep Face Recognition Understanding,
FG20(307-313)
IEEE DOI 2102
Face recognition, Neurons, Visualization, Task analysis, Semantics, Training, Location awareness, deep learning, face recognition, face attributes BibRef

Sharma, A.K., Foroosh, H.,
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction,
FG20(329-335)
IEEE DOI 2102
Face recognition, Task analysis, Kernel, Neural networks, Facial features, Computer architecture, Training, Light Weight CNN, Face Attributes BibRef

Chen, X.H.[Xuan-Hong], Ni, B.B.[Bing-Bing], Liu, N.[Naiyuan], Liu, Z.[Ziang], Jiang, Y.L.[Yi-Liu], Truong, L.[Loc], Tian, Q.[Qi],
COOGAN: A Memory-efficient Framework for High-resolution Facial Attribute Editing,
ECCV20(XI:670-686).
Springer DOI 2011
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Chu, W.Q.[Wen-Qing], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Ji, R.R.[Rong-Rong],
Sscgan: Facial Attribute Editing via Style Skip Connections,
ECCV20(XV:414-429).
Springer DOI 2011
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Li, Y.Z.[Yue-Zun], Luo, A.[Ao], Lyu, S.W.[Si-Wei],
Fast Portrait Segmentation With Highly Light-Weight Network,
ICIP20(1511-1515)
IEEE DOI 2011
Image segmentation, Kernel, Computer architecture, Decoding, Convolution, Head, HLB architecture BibRef

Martins, P., Silva, B., Batista, J.,
Cascaded Nonlinear Shape Model Regression,
ICIP20(1356-1360)
IEEE DOI 2011
Non-rigid face registration, face alignment, deformable models, facial feature localization, cascaded regression BibRef

Kwak, J.G.[Jeong-Gi], Han, D.K.[David K.], Ko, H.S.[Han-Seok],
Cafe-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature,
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Springer DOI 2011
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Li, R., Bladin, K., Zhao, Y., Chinara, C., Ingraham, O., Xiang, P., Ren, X., Prasad, P., Kishore, B., Xing, J., Li, H.,
Learning Formation of Physically-Based Face Attributes,
CVPR20(3407-3416)
IEEE DOI 2008
Face, Geometry, Data models, Cameras, Solid modeling, Computational modeling BibRef

Guo, S., Xu, J., Chen, D., Zhang, C., Wang, X., Zhao, R.,
Density-Aware Feature Embedding for Face Clustering,
CVPR20(6697-6705)
IEEE DOI 2008
Face, Feature extraction, Clustering methods, Aggregates, Task analysis, Robustness, Visualization BibRef

Duong, C.N., Truong, T., Luu, K., Quach, K.G., Bui, H., Roy, K.,
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition,
CVPR20(6131-6140)
IEEE DOI 2008
Measurement, Image reconstruction, Face recognition, Task analysis, Engines, Feature extraction, Generators BibRef

Kumar, P., Vatsa, M., Singh, R.,
Detecting Face2Face Facial Reenactment in Videos,
WACV20(2578-2586)
IEEE DOI 2006
Videos, Face, Feature extraction, Task analysis, Machine learning, Training BibRef

Kang, B., Kim, Y., Jun, B., Kim, D.,
Attentional Feature-Pair Relation Networks for Accurate Face Recognition,
ICCV19(5471-5480)
IEEE DOI 2004
face recognition, feature extraction, human face recognition, robust face recognition, face recognition method, Benchmark testing BibRef

Lin, J.P.[Jin-Peng], Yang, H.[Hao], Chen, D.[Dong], Zeng, M.[Ming], Wen, F.[Fang], Yuan, L.[Lu],
Face Parsing With RoI Tanh-Warping,
CVPR19(5647-5656).
IEEE DOI 2002
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Tang, C., Hsu, G.J., Yap, M.H.[M. Hoon],
Face Recognition with Disentangled Facial Representation Learning and Data Augmentation,
ICIP19(1670-1674)
IEEE DOI 1910
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Zhao, Y., Liu, G., Liu, F., Shen, L., Li, Q.,
DEEPPOREID: An Effective Pore Representation Descriptor in Direct Pore Matching,
ICIP19(1690-1694)
IEEE DOI 1910
pore representation, direct pore matching, convolutional neural networks BibRef

Lai, S., Kong, M., Lam, K., Li, D.,
High-Resolution Face Recognition Via Deep Pore-Feature Matching,
ICIP19(3477-3481)
IEEE DOI 1910
Face recognition, high-resolution face recognition, feature extraction, pore-scale facial feature BibRef

Iengo, D., Nappi, M.[Michele], Ricciardi, S.[Stefano], Vanore, D.,
Dynamic Facial Features for Inherently Safer Face Recognition,
ICIP19(2611-2615)
IEEE DOI 1910
Biometrics, face recognition, image analysis BibRef

Yavuz, M.C.[Mehmet Can], Yanikoglu, B.A.[Berrin A.],
Self-Supervised Variational Contrastive Learning with Applications to Face Understanding,
FG24(1-9)
IEEE DOI 2408
Face recognition, Semantics, Noise, Contrastive learning, Gesture recognition, Noise measurement BibRef

Yavuz, M.C.[Mehmet Can], Yanikoglu, B.A.[Berrin A.],
VCL-PL:Semi-Supervised Learning from Noisy Web Data with Variational Contrastive Learning,
ICPR22(740-747)
IEEE DOI 2212
Training, Face recognition, Supervised learning, Noise measurement, Faces BibRef

Ahmed, S.A.A.[Sara Atito Ali], Yanikoglu, B.A.[Berrin A.],
Relative Attribute Classification with Deep-rankSVM,
DLPR20(659-671).
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Ahmed, S.A.A.[Sara Atito Ali], Yanikoglu, B.A.[Berrin A.],
Within-Network Ensemble for Face Attributes Classification,
CIAP19(I:466-476).
Springer DOI 1909
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Zhong, Y.J.[Yu-Jie], Arandjelovic, R.[Relja], Zisserman, A.[Andrew],
GhostVLAD for Set-Based Face Recognition,
ACCV18(II:35-50).
Springer DOI 1906
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Xu, X.[Xiang], Le, H.[Ha], Kakadiaris, I.A.[Ioannis A.],
On the Importance of Feature Aggregation for Face Reconstruction,
WACV19(922-931)
IEEE DOI 1904
face recognition, feature extraction, image reconstruction, neural nets, end-to-end face reconstruction, deep neural network, BibRef

Sindagi, V., Patel, V.,
DAFE-FD: Density Aware Feature Enrichment for Face Detection,
WACV19(2185-2195)
IEEE DOI 1904
face recognition, feature extraction, object detection, face detection, anchor design strategies, ground truth faces, Robustness BibRef

Taherkhani, F., Nasrabadi, N.M., Dawson, J.,
A Deep Face Identification Network Enhanced by Facial Attributes Prediction,
Biometrics18(666-6667)
IEEE DOI 1812
Face, Facial features, Task analysis, Predictive models, Face recognition, Feature extraction, Training BibRef

Zheng, Y., Pal, D.K., Savvides, M.,
Ring Loss: Convex Feature Normalization for Face Recognition,
CVPR18(5089-5097)
IEEE DOI 1812
Training, Face recognition, Task analysis, Testing, Measurement, Protocols, Face BibRef

Liu, Y.[Yu], Wei, F.Y.[Fang-Yin], Shao, J.[Jing], Sheng, L.[Lu], Yan, J.J.[Jun-Jie], Wang, X.G.[Xiao-Gang],
Exploring Disentangled Feature Representation Beyond Face Identification,
CVPR18(2080-2089)
IEEE DOI 1812
Face, Feature extraction, Task analysis, Training, Semantics, Image reconstruction, Face recognition BibRef

Xu, X., Zhang, L., Li, F.,
MSSVT: Multi-scale feature extraction for single face recognition,
ICPR18(1996-2001)
IEEE DOI 1812
Face, Face recognition, Feature extraction, Support vector machines, Matrix decomposition, Databases, virtual samples BibRef

Gumede, A., Viriri, S., Gwetu, M.V.,
Selecting Salient Features from Facial Components for Face Recognition,
PSIVTWS17(63-75).
Springer DOI 1806
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Liu, X.D.[Xu-Dong], Guo, G.D.[Guo-Dong],
Attributes in Multiple Facial Images,
FG18(318-324)
IEEE DOI 1806
Combining attributes computed from multiple images. Estimation, Face, Face recognition, Forestry, Image quality, Image recognition, Silicon, attribute, correct, inconsistency, multiple images BibRef

Zhu, C., Zheng, Y., Luu, K., Savvides, M.,
Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild,
FG18(226-233)
IEEE DOI 1806
Convolution, Face, Face detection, Feature extraction, Proposals, Robustness, Training, convolutional neural network, face detection, interior and exterior features BibRef

Castanon, G., Byrne, J.,
Visualizing and Quantifying Discriminative Features for Face Recognition,
FG18(16-23)
IEEE DOI 1806
Face, Face recognition, Games, Neurons, Task analysis, Tools, Visualization, deconvolution, face recognition, saliency, visualization BibRef

Wang, P., Su, F., Zhao, Z.,
Joint multi-feature fusion and attribute relationships for facial attribute prediction,
VCIP17(1-4)
IEEE DOI 1804
data mining, entropy, face recognition, feature extraction, learning (artificial intelligence), neural nets, probability, Online Batch Relation Loss BibRef

de Sousa, V.F., Gomes, H.M., de Queiroz, J.E.R.,
Comparative evaluation of facial fiducial point detection approaches,
VCIP17(1-4)
IEEE DOI 1804
face recognition, feature extraction, mean square error methods, shape recognition, statistical analysis, ANOVA analysis, face image analysis BibRef

Chan, J.S., Hsu, G.S.J., Shie, H.C., Chen, Y.X.,
Face recognition by facial attribute assisted network,
ICIP17(3825-3829)
IEEE DOI 1803
Databases, Face, Face recognition, Feature extraction, Probes, Testing, Training BibRef

Shu, H., Chen, D., Li, Y., Wang, S.,
A highly accurate facial region network for unconstrained face detection,
ICIP17(665-669)
IEEE DOI 1803
Face, Face detection, Feature extraction, Object detection, Proposals, Robustness, Training, CNN, Face detection, weighted grid feature BibRef

Singh, A., Patii, D., Reddy, G.M., Omkar, S.,
Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,
AMFG17(1648-1655)
IEEE DOI 1802
Databases, Face, Glass, Heating systems, Lips, Machine learning, Training BibRef

Yang, T.Q.[Tang-Qin], Shu, C.[Chang], Zhou, N.[Ning],
A joint facial point detection method of deep convolutional network and shape regression,
ICPR16(543-548)
IEEE DOI 1705
Convolution, Face, Feature extraction, Mouth, Nose, Shape, Training, convolutional network, facial point detection, shape, regression BibRef

Rozsa, A., Günther, M., Rudd, E.M., Boult, T.E.,
Are facial attributes adversarially robust?,
ICPR16(3121-3127)
IEEE DOI 1705
Benchmark testing, Face, Feature extraction, Hair, Neural networks, Robustness, Training BibRef

Banaeeyan, R.[Rasoul], Lye, M.H.[Mohd Haris], Fauzi, M.F.A.[Mohammad Faizal Ahmad], Karim, H.A.[Hezerul Abdul], See, J.[John],
Deep or Shallow Facial Descriptors? A Case for Facial Attribute Classification and Face Retrieval,
WFI16(II: 434-448).
Springer DOI 1704
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Chang, F.J.[Feng-Ju], Nevatia, R.[Ram],
Image Set Classification via Template Triplets and Context-Aware Similarity Embedding,
ACCV16(V: 231-247).
Springer DOI 1704
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Gowda, S.N.[Shreyank N.],
Fiducial Points Detection of a Face Using RBF-SVM and Adaboost Classification,
SFBA16(I: 590-598).
Springer DOI 1704
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Robust SIFT for dark face images recogntition,
ISIVC16(53-58)
IEEE DOI 1704
Face BibRef

Jiang, X., Zhang, D., Feng, X.,
Local feature hierarchy for face recognition across pose and illumination,
IPTA16(1-5)
IEEE DOI 1703
face recognition BibRef

Chowdhury, M., Gao, J., Islam, R.,
Fuzzy rule based approach for face and facial feature extraction in biometric authentication,
ICVNZ16(1-5)
IEEE DOI 1701
Face BibRef

Zhu, C.C.[Chen-Chen], Zheng, Y.T.[Yu-Tong], Luu, K.[Khoa], Le, T.H.N.[T. Hoang Ngan], Bhagavatula, C.[Chandrasekhar], Savvides, M.[Marios],
Weakly Supervised Facial Analysis with Dense Hyper-Column Features,
Biometrics16(93-101)
IEEE DOI 1612
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Peng, X., Yu, X.[Xiang], Sohn, K.[Kihyuk], Metaxas, D.N., Chandraker, M.[Manmohan],
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ICCV17(1632-1641)
IEEE DOI 1802
face recognition, feature extraction, image reconstruction, image representation, learning (artificial intelligence), Training data BibRef

Rudd, E.M.[Ethan M.], Boult, T.E.[Terrance E.],
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition,
Biometrics16(195-203)
IEEE DOI 1612
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Günther, M.[Manuel], Cruz, S., Rudd, E.M.[Ethan M.], Boult, T.E.[Terrance E.],
Toward Open-Set Face Recognition,
Biometrics17(573-582)
IEEE DOI 1709
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ECCV16(V: 19-35).
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Face recognition, Feature extraction, Probes, Protocols, Training BibRef

Rozsa, A.[Andras], Günther, M.[Manuel], Rudd, E.M.[Ethan M.], Boult, T.E.[Terrance E.],
Facial attributes: Accuracy and adversarial robustness,
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DeepLearn-C16(410-417)
IEEE DOI 1612
Facial attributes, Adversarial images, Deep learning BibRef

Li, S., Deng, W.,
Face recognition based on random feature,
VCIP15(1-4)
IEEE DOI 1605
Dictionaries BibRef

Alrjebi, M.M., Liu, W., Li, L.,
Face Recognition against Mouth Shape Variations,
DICTA15(1-7)
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face recognition BibRef

Joo, J.[Jungseock], Steen, F.F.[Francis F.], Zhu, S.C.[Song-Chun],
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,
ICCV15(3712-3720)
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Computational modeling BibRef

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ICIP15(291-295)
IEEE DOI 1512
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ICIP14(234-238)
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Accuracy BibRef

Uzair, M.[Muhammad], Mian, A.[Ajmal], Uzair, M., Mian, A.,
Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition,
DICTA14(1-7)
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face recognition BibRef

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CVPR15(5289-5297)
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Gong, D.H.[Di-Hong], Zheng, J.Y.[Jiang-Yu],
A Maximum Correlation Feature Descriptor for Heterogeneous Face Recognition,
ACPR13(135-139)
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face recognition BibRef

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Towards fixed facial features face recognition,
WSSIP14(267-270) 1406
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Ren, J.F.[Jian-Feng], Jiang, X.D.[Xu-Dong], Yuan, J.S.[Jun-Song],
Relaxed local ternary pattern for face recognition,
ICIP13(3680-3684)
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Face Recognition BibRef

Feng, Q.X.[Qing-Xiang], Pan, J.S.[Jeng-Shyang], Yan, L.J.[Li-Jun],
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ICIP13(3216-3219)
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Face Recognition; Nearest Feature Plane; Object Recognition BibRef

Cai, X.Y.[Xin-Yuan], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Chen, X.[Xue], Lv, Z.J.[Zhi-Jian], Shi, Y.Q.[Yan-Qin],
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ICIP13(2772-2776)
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Efficient Boosted Exemplar-Based Face Detection,
CVPR14(1843-1850)
IEEE DOI 1409
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Springer DOI 1210
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Smith, B.M.[Brandon M.], Zhang, L.[Li], Brandt, J.[Jonathan], Lin, Z.[Zhe], Yang, J.C.[Jian-Chao],
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CVPR13(3484-3491)
IEEE DOI 1309
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Liu, Z., Luo, P.[Ping], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Deep Learning Face Attributes in the Wild,
ICCV15(3730-3738)
IEEE DOI 1602
Face BibRef

Luo, P.[Ping], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis,
ICCV13(2864-2871)
IEEE DOI 1403
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Hierarchical face parsing via deep learning,
CVPR12(2480-2487).
IEEE DOI 1208
attributes; deep learning; face recognition
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Mostafa, E.A.[Eslam A.], Farag, A.A.[Aly A.],
Complex Bingham Distribution for Facial Feature Detection,
Face12(II: 330-339).
Springer DOI 1210
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And:
Dynamic Weighting of Facial Features for Automatic Pose-Invariant Face Recognition,
CRV12(411-416).
IEEE DOI 1207
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Uhl, A.[Andreas], Wild, P.[Peter],
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ICIAR12(II: 80-89).
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Patnaik, R., Gupta, R., Mittal, A.,
Local Ternary Patterns and Maximum Bipartite Matching for Face Recognition,
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IEEE DOI 1205
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Roomi, S.M.M., Virasundarii, S.L., Selvamegala, S., Jeevanandham, S., Hariharasudhan, D.,
Race Classification Based on Facial Features,
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IEEE DOI 1205
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Bhattacharya, B.[Bhaskar], Zhu, M.[Minhui],
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IEEE DOI 1204
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Li, J.W.[Jiang-Wei], Xu, L.[Lei], Wang, K.Q.[Kong-Qiao], Ma, Y.[Yong], Xiong, T.[Tao],
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ICIP11(3029-3032).
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ICIP11(1093-1096).
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ICIIP11(1-6).
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Yoon, J.M.[Jong-Min], Kim, D.J.[Dai-Jin],
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ICARCV10(2084-2087).
IEEE DOI 1109
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Zhu, J.[Jie], Tang, Z.M.[Zhen-Min],
Face Recognition with Multi-feature Joint Representation,
ICIG11(587-592).
IEEE DOI 1109
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Robust Face Recognition by Sparse Local Features from a Single Image under Occlusion,
ICIG11(500-505).
IEEE DOI 1109
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Bui, L.[Len], Tran, D.[Dat], Huang, X.[Xu], Chetty, G.[Girija],
Relation Learning: A New Approach to Face Recognition,
ACIVS11(566-575).
Springer DOI 1108
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Chen, Y.[Yi], Do, T.T.[Thong T.], Tran, T.D.[Trac D.],
Robust face recognition using locally adaptive sparse representation,
ICIP10(1657-1660).
IEEE DOI 1009
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Oruê, J.P.M.[Jonatan Patrick Margarido], Gonçalves, W.N.[Wesley Nunes],
Face recognition using activities of directed graphs in spatial pyramid,
ICPR16(3162-3167)
IEEE DOI 1705
Face, Face recognition, Feature extraction, Histograms, Image edge detection, Mathematical model, Mouth BibRef

Gonçalves, W.N.[Wesley Nunes], de Andrade Silva, J.[Jonathan], Bruno, O.M.[Odemir Martinez],
A Rotation Invariant Face Recognition Method Based on Complex Network,
CIARP10(426-433).
Springer DOI 1011
Model the face as a graph. BibRef

Li, Z.S.[Zi-Sheng], Imai, J.I.[Jun-Ichi], Kaneko, M.[Masahide],
Robust Face Recognition Using Block-Based Bag of Words,
ICPR10(1285-1288).
IEEE DOI 1008
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Smiatacz, M.[Maciej],
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ICCVG16(341-352).
Springer DOI 1611
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Czarnecki, W.[Wojciech], Gburek, S.[Szymon], Smiatacz, M.[Maciej],
Fast Distance Vector Field Extraction for Facial Feature Detection,
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Springer DOI 1009
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Zhou, Z.H.[Zi-Han], Wagner, A.[Andrew], Mobahi, H.[Hossein], Wright, J.[John], Ma, Y.[Yi],
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ICCV09(1050-1057).
IEEE DOI 0909
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Zeng, Z.H.[Zhi-Hong], Fang, T.H.[Tian-Hong], Shah, S.K., Kakadiaris, I.A.,
Local Feature Hashing for face recognition,
BTAS09(1-8).
IEEE DOI 0909
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Hanselmann, H.[Harald], Ney, H.[Hermann],
Learning Local Convolutional Features for Face Recognition with 2D-Warping,
LocalFea16(III: 747-758).
Springer DOI 1611
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Earlier:
Fine-Grained Visual Categorization with 2D-Warping,
ICPR14(608-613)
IEEE DOI 1412
Accuracy BibRef

Hanselmann, H.[Harald], Ney, H.[Hermann], Dreuw, P.[Philippe],
Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm,
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Dreuw, P.[Philippe], Steingrube, P.[Pascal], Hanselmann, H.[Harald], Ney, H.[Hermann],
Surf-face: Face Recognition Under Viewpoint Consistency Constraints,
BMVC09(xx-yy).
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Abiantun, R., Savvides, M.[Marios],
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BTAS09(1-6).
IEEE DOI 0909
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Earlier:
Boosted multi image features for improved face detection,
AIPR08(1-8).
IEEE DOI 0810
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Vicente, M.A.[Maria Asuncion], Fernandez, C.[Cesar], Coves, A.M.[Angela M.],
Supervised Face Recognition for Railway Stations Surveillance,
ACIVS09(710-719).
Springer DOI 0909
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Earlier: A2, A1, Only:
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FG08(1-7).
IEEE DOI 0809
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Li, P.[Peng], Prince, S.J.D.[Simon J.D.],
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CVPR09(1510-1517).
IEEE DOI 0906
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Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces,
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IEEE DOI 1103
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CVPR09(1115-1122).
IEEE DOI 0906
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ICPR08(1-4).
IEEE DOI 0812
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Detecting Photographic Composites of People,
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Zhao, S.Q.[San-Qiang], Gao, Y.S.[Yong-Sheng],
Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition,
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IEEE DOI 0906
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Establishing point correspondence using multidirectional binary pattern for face recognition,
ICPR08(1-4).
IEEE DOI 0812
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Significant jet point for facial image representation and recognition,
ICIP08(1664-1667).
IEEE DOI 0810

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Yao, B.P.[Bang-Peng], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Matching texture units for face recognition,
ICIP08(1920-1923).
IEEE DOI 0810
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FG08(1-8).
IEEE DOI 0809
BibRef

Olivares-Mercado, J.[Jesus], Hotta, K.[Kazuhiro], Takahashi, H.[Haruhisa], Perez-Meana, H.M.[Hector M.], Miyatake, M.N.[Mariko Nakano], Sanchez-Perez, G.[Gabriel],
Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image,
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Springer DOI 0812
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Zhang, S.C.[Si-Cong], Wu, L.F.[Li-Fang], Wang, Y.[Ying],
Cascade MR-ASM for Locating Facial Feature Points,
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Representation of Facial Features by Catmull-Rom Splines,
CAIP07(408-415).
Springer DOI 0708
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Clemmensen, L.H.[Line H.], Gomez, D.D.[David D.], Ersbøll, B.K.[Bjarne K.],
Individual Discriminative Face Recognition Models Based on Subsets of Features,
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Kim, H.C.[Hyun-Chul], Kim, H.J.[Hyoung-Joon], Hwang, W.J.[Won-Jun], Kee, S.C.[Seok-Cheol], Kim, W.Y.[Whoi-Yul],
Facial Feature Point Extraction Using the Adaptive Mean Shape in Active Shape Model,
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BibRef

Ersi, E.F., Zelek, J.S.[John S.],
Local Graph Matching for Face Recognition,
WACV07(3-3).
IEEE DOI 0702
BibRef
Earlier:
Local Feature Matching For Face Recognition,
CRV06(4-4).
IEEE DOI 0607
BibRef

Kang, J.[Jeonil], Nyang, D.H.[Dae-Hun], Lee, K.H.[Kyung-Hee],
Two Factor Face Authentication Scheme with Cancelable Feature,
IWBRS05(67).
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Zhou, D.[Dake], Yang, X.[Xin],
Feature Fusion Based Face Recognition Using EFM,
ICIAR04(II: 643-650).
Springer DOI 0409
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Wang, H.[He], Plataniotis, K.N., Venetsanopoulos, A.N.,
Feature selection for subject identification in surveillance photos,
ICIP04(I: 71-74).
IEEE DOI 0505
BibRef

Sadykhov, R.Kh., Samokhval, V.A., Podenok, L.P.,
Face Recognition Algorithm on the Basis of Truncated Walsh-Hadamard Transform and Synthetic Discriminant Functions,
AFGR04(219-222).
IEEE DOI 0411
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Zhao, S.Y.[Shu-Yan], Grigat, R.R.,
Multiblock-fusion scheme for face recognition,
ICPR04(I: 309-312).
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Shan, S.G.[Shi-Guang], Chang, Y.Z.[Yi-Zheng], Gao, W.[Wen], Cao, B.[Bo], Yang, P.[Peng],
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AFGR04(314-320).
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Bart, E.[Evgeniy], Byvatov, E.[Evgeny], Ullman, S.[Shimon],
View-Invariant Recognition Using Corresponding Object Fragments,
ECCV04(Vol II: 152-165).
Springer DOI 0405
Faces from different viewpoints. Learn with video sequence. BibRef

Leung, T.[Thomas],
Texton Correlation for Recognition,
ECCV04(Vol I: 203-214).
Springer DOI 0405
Faces represented by local characteristics. BibRef

Jarudi, I.N.[Izzat N.], Sinha, P.[Pawan],
Relative Contributions of Internal and External Features to Face Recognition,
MIT AIMAIM-2003-004, March 2003.
WWW Link. It is also important to know how image degradations, such as loss of resolution caused by large viewing distances, influence our ability to use internal and external features. While we replicated results of previous studies that have shown internal features of familiar faces to be more useful for recognition than external features at high resolution, we found that the two feature sets reverse in importance as resolution decreases. 0306
BibRef

Schwaninger, A.[Adrian], Lobmaier, J.S.[Janek S.], Collishaw, S.M.[Stephan M.],
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BMCV02(643 ff.).
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Mahamud, S.[Shyjan], Hebert, M.[Martial], Shi, J.B.[Jian-Bo],
Object Recognition using Boosted Discriminants,
CVPR01(I:551-558).
IEEE DOI 0110
Learn the index for each class. Use facial features. BibRef

Kase, D.[Daisuke], Hamamoto, T.[Takayuki], Hangai, S.[Seiichiro],
A Study on Subjective Evaluation of Facial Polygon Model,
ICME00(TA1). 0007
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Nagao, K.[Kenji],
Face Recognition by Distribution Specific Feature Extraction,
CVPR00(I: 278-285).
IEEE DOI 0005
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Hotta, K.[Kazuhiro], Kurita, T.[Takio], Umeyama, S.J.[Shin-Ji], Mishima, T.[Taketoshi],
Face Matching through Information Theoretical Attention Points and Its Applications to Face Detection and Classification,
AFGR00(34-39).
IEEE DOI 0003
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Gebhard, A., and Paulus, D.,
Active System to Generate Views of Facial Features with Selectable Resolution,
VMV99(179-186).
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Fraga Bobis, C., Corsino Gonzalez, R., Cancelas, J.A., Alvarez, I., Enguita, J.M.,
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CIAP99(1077-1080).
IEEE DOI 9909
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Nastar, C., Mitschke, M.,
Real-Time Face Recognition Using Feature Combination,
AFGR98(312-317).
IEEE DOI BibRef 9800

Lursinsap, C.L., Su, C.,
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ICPR96(III: 401-405).
IEEE DOI 9608
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Ruiz, J.[José], Jaime, R.[René],
Backpropagation and SOM for Face Feature Recognition,
ICIP96(III: 487-490).
IEEE DOI BibRef 9600

Cox, I.J.[Ingemar J.], Ghosn, J.[Joumana], and Yianilos, P.N.[Peter N.],
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And: NEC TR
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Gordon, G.G.[Gaile G.],
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IEEE DOI BibRef 9200
Earlier:
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- High Level Facial Features, Sketches .