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

Chapter Contents (Back)
Face Recognition. Application, Faces. Application, Face Recognition. Facial Features. Facial Landmarks. Faces, Features. See also Facial Feature Tracking for Expressions. See also Face Analysis -- High Level Facial Features, Sketches.

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

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Samaria, F.S.,
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BMVC93(399-408).
PDF File. BibRef 9300

Samaria, F.S.[Ferdinando S.], Harter, A.[Andy],
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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.,
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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],
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Mirhosseini, A.R.[Ali Reza], Chen, C.[Catherine], Pham, T.[Tuan], and Yan, H.[Hong],
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Reinders, M.J.T., van Beek, P.J.L., Sankur, B., van der Lubbe, J.C.A.,
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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
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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.
WWW Link. 0003
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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.
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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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.,
Discriminative Common Vectors for Face Recognition,
PAMI(27), No. 1, January 2005, pp. 4-13.
IEEE Abstract. 0412
BibRef

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

Lee, H.S.[Hyung-Soo], Kim, D.J.[Dai-Jin],
Generating frontal view face image for pose invariant face recognition,
PRL(27), No. 7, May 2006, pp. 747-754.
WWW Link. 0604
BibRef
Earlier:
Pose Invariant Face Recognition Using Linear Pose Transformation in Feature Space,
CVHCI04(211-220).
Springer DOI 0505
PCA; Kernel PCA; Pose transformation; Discriminant analysis; Pose invariant face recognition Extract features, transform face into frontal pose. BibRef

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.
WWW Link. 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 Abstract. 0311
BibRef

Ivanov, Y., Heisele, B., Serre, T.,
Using component features for face recognition,
AFGR04(421-426).
WWW Link. 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.
WWW Link. 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.
WWW Link. 0804
Face recognition; Face authentication; Automatic feature detection; Self compensation BibRef

Albiol, A.[Alberto], Monzo, D.[David], Martin, A.[Antoine], Sastre, J.[Jorge], Albiol, A.[Antonio],
Face recognition using HOG-EBGM,
PRL(29), No. 10, 15 July 2008, pp. 1537-1543.
WWW Link. 0711
Face recognition; EBGM; SIFT; HOG; Local image descriptors (elastic bunch graph matching) See also Precise eye localization using HOG descriptors. BibRef

Monzo, D.[David], Albiol, A.[Alberto], Albiol, A.[Antonio], Mossi, J.M.[Jose M.],
Color HOG-EBGM for face recognition,
ICIP11(785-788).
IEEE DOI 1201
BibRef
Earlier:
A Comparative Study of Facial Landmark Localization Methods for Face Recognition Using HOG descriptors,
ICPR10(1330-1333).
IEEE DOI 1008
BibRef

Monzo, D.[David], Albiol, A.[Alberto], Sastre, J.[Jorge], Albiol, A.[Antonio],
HOG-EBGM vs. Gabor-EBGM,
ICIP08(1636-1639).
IEEE DOI 0810
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

Yuasa, M.[Mayumi], Kozakaya, T.[Tatsuo], Yamaguchi, O.[Osamu],
An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points,
IEICE(E91-D), No. 7, July 2008, pp. 1871-1877.
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

Wen, L.Y.[Ling-Yun], Guo, G.D.[Guo-Dong],
A computational approach to body mass index prediction from face images,
IVC(31), No. 5, May 2013, pp. 392-400.
Elsevier DOI 1305
Body mass index (BMI); Facial features; BMI prediction; Machine vision; Large database 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

Qian, J.J.[Jian-Jun], Yang, J.[Jian], Xu, Y.,
Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition,
IP(22), No. 9, 2013, pp. 3591-3603.
IEEE DOI 1309
Image decomposition BibRef

Qian, J.J.[Jian-Jun], Yang, J.[Jian],
General Regression and Representation Model for Face Recognition,
Biometrics13(166-172)
IEEE DOI 1309
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

Hong, S.J.[Sung-Jin], Khim, S.R.[Sa-Rang], Rhee, P.K.[Phill Kyu],
Efficient facial landmark localization using spatial-contextual AdaBoost algorithm,
JVCIR(25), No. 6, 2014, pp. 1366-1377.
Elsevier DOI 1407
Facial landmark localization 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

Feng, Z.H.[Zhen-Hua], Huber, P., Kittler, J.V., Christmas, W.J., Wu, X.J.[Xiao-Jun],
Random Cascaded-Regression Copse for Robust Facial Landmark Detection,
SPLetters(22), No. 1, January 2015, pp. 76-80.
IEEE DOI 1410
face recognition BibRef

Feng, Z.H.[Zhen-Hua], Hu, G.S.[Guo-Sheng], Kittler, J.V., Christmas, W.J., Wu, X.J.[Xiao-Jun],
Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting,
IP(24), No. 11, November 2015, pp. 3425-3440.
IEEE DOI 1509
face recognition 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
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Lu, J.W.[Ji-Wen], Liong, V.E., Zhou, X., Zhou, J.,
Learning Compact Binary Face Descriptor for Face Recognition,
PAMI(37), No. 10, October 2015, pp. 2041-2056.
IEEE DOI 1509
Binary codes See also Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation. 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., Tang, Y.Y., Li, L.,
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., Tang, Y.Y., Li, L.,
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

Rahman, S.M.[S. Mahbubur], Lata, S.[Shahana], Howlader, T.[Tamanna],
Bayesian face recognition using 2D Gaussian-Hermite moments,
JIVP(2015), No. 1, 2015, pp. 35.
DOI Link 1512
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Mery, D.[Domingo], Bowyer, K.W.[Kevin W.],
Automatic facial attribute analysis via adaptive sparse representation of random patches,
PRL(68, Part 2), No. 1, 2015, pp. 260-269.
Elsevier DOI 1512
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.
WWW Link. 1601
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Ouamane, A., Belahcene, M., Benakcha, A., Bourennane, S., Taleb-Ahmed, A.,
Robust multimodal 2D and 3D face authentication using local feature fusion,
SIViP(10), No. 1, January 2016, pp. 129-137.
Springer DOI 1601
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Chouchane, A., Belahcene, M.[Mebarka], Ouamane, A.[Abdelmalik], Bourennane, S.,
3D face recognition based on histograms of local descriptors,
IPTA14(1-5)
IEEE DOI 1503
face recognition BibRef

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
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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.[Changxin],
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

Zhang, S., Yang, H., Yin, Z.P.,
Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization,
SPLetters(23), No. 4, April 2016, pp. 478-482.
IEEE DOI 1604
Convolution 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.
DOI Link 1609
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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Soltanpour, S.[Sima], Boufama, B.[Boubakeur], Wu, Q.M.J.[Q.M. Jonathan],
A survey of local feature methods for 3D face recognition,
PR(72), No. 1, 2017, pp. 391-406.
Elsevier DOI 1708
Survey, Facial Features. Face, recognition BibRef

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.
WWW Link. 1708
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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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Zafeiriou, S.P.[Stefanos P.], Trigeorgis, G.[George], Chrysos, G.[Grigorios], Deng, J.K.[Jian-Kang], Shen, J.[Jie],
The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution,
FaceWild17(2116-2125)
IEEE DOI 1709
Benchmark testing, Databases, Face, Machine learning, Measurement, Shape, Training BibRef

Chen, X.[Xi], Zhou, E.[Erjin], Mo, Y.C.[Yu-Chen], Liu, J.C.[Jian-Cheng], Cao, Z.M.[Zhi-Min],
Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization,
FaceWild17(2088-2095)
IEEE DOI 1709
Computer architecture, Computer vision, Convolution, Correlation, Face, Least squares approximation, Training BibRef

Shao, X.H.[Xiao-Hu], Xing, J.L.[Jun-Liang], Lv, J.J.[Jiang-Jing], Xiao, C.L.[Chun-Lin], Liu, P.C.[Peng-Cheng], Feng, Y.J.[You-Ji], Cheng, C.[Cheng],
Unconstrained Face Alignment Without Face Detection,
FaceWild17(2069-2077)
IEEE DOI 1709
Benchmark testing, Computer architecture, Face, Face detection, Heating systems, Nose, Shape BibRef

Xiao, S.T.[Sheng-Tao], Li, J.S.[Jian-Shu], Chen, Y.P.[Yun-Peng], Wang, Z.C.[Zhe-Can], Feng, J.S.[Jia-Shi], Yan, S.C.[Shui-Cheng], Kassim, A.[Ashraf],
3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection,
FaceWild17(2060-2068)
IEEE DOI 1709
Detectors, Face, Feature extraction, Robustness, Solid modeling, Three-dimensional displays, Two, dimensional, displays BibRef

Xiao, S.T.[Sheng-Tao], Feng, J.S.[Jia-Shi], Xing, J.L.[Jun-Liang], Lai, H.J.[Han-Jiang], Yan, S.C.[Shui-Cheng], Kassim, A.[Ashraf],
Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks,
ECCV16(I: 57-72).
Springer DOI 1611
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Yang, J., Liu, Q., Zhang, K.,
Stacked Hourglass Network for Robust Facial Landmark Localisation,
FaceWild17(2025-2033)
IEEE DOI 1709
Estimation, Face, Feature extraction, Robustness, Shape, Training BibRef

Kim, K.[Kang_Geon], Chang, F.J.[Feng-Ju], Choi, J.[Jongmoo], Morency, L.P.[Louis-Philippe], Nevatia, R.[Ramakant], Medioni, G.[Gérard],
Local-Global Landmark Confidences for Face Recognition,
FG17(666-672)
IEEE DOI 1707
Computational modeling, Face, Face recognition, Media, Rendering (computer graphics), Three-dimensional displays, Two dimensional displays BibRef

Kendrick, C.[Connah], Tan, K.[Kevin], Williams, T.[Tomos], Yap, M.H.[Moi Hoon],
An Online Tool for the Annotation of 3D Models,
FG17(362-369)
IEEE DOI 1707
Annotation for training facial landmarks. Cameras, Face, Mathematical model, Software, Solid modeling, Three-dimensional displays, Two, dimensional, displays BibRef

Pan, Y., Zhou, J., Gao, Y., Xiang, J., Xiong, S., Yang, Y.,
Robust Facial Landmark Localization Using LBP Histogram Correlation Based Initialization,
FG17(619-625)
IEEE DOI 1707
Computer vision, Correlation, Face, Histograms, Robustness, Shape, Training, Cascaded pose regression, Facial landmark localization, LBP histogram, Occlusion BibRef

Liu, S., Huang, Y., Hu, J., Deng, W.,
Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment,
FG17(947-952)
IEEE DOI 1707
Convolution, Convolutional codes, Encoding, Face, Neural networks, Shape, Testing BibRef

Wu, Y., AbdAlmageed, W., Rawls, S., Natarajan, P.,
EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors,
FG17(222-229)
IEEE DOI 1707
Adaptation models, Detectors, Face, Mathematical model, Stability analysis, Training data, Transforms 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

Jeong, M., Kwak, J.[JoonYoung], Ko, B.C., Nam, J.,
Facial landmark detection based on an ensemble of local weighted regressors during real driving situation,
ICPR16(2198-2203)
IEEE DOI 1705
Cameras, Face, Nose, Regression tree analysis, Shape, Training, face alignment dataset, facial landmark detection, global face model, real driving situation, weighted, random, forest, regressor BibRef

Fukui, H.[Hiroshi], Yamashita, T.[Takayoshi], Kato, Y.[Yuu], Matsui, R.[Ryo], Ogata, T., Yamauchi, Y.[Yuji], Fujiyoshi, H.[Hironobu],
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,
WFI16(II: 392-406).
Springer DOI 1704
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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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Mahamdioua, M., Benmohammed, M.,
Robust SIFT for dark face images recogntition,
ISIVC16(53-58)
IEEE DOI 1704
Face BibRef

Oliu Simón, M.[Marc], Corneanu, C.A.[Ciprian A.], Jeni, L.A.[László A.], Cohn, J.F.[Jeffrey F.], Kanade, T.[Takeo], Escalera, S.[Sergio],
Continuous Supervised Descent Method for Facial Landmark Localisation,
ACCV16(II: 121-135).
Springer DOI 1704
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Steger, A.[Andreas], Timofte, R.[Radu],
Failure Detection for Facial Landmark Detectors,
WFI16(II: 361-376).
Springer DOI 1704
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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

Kopaczka, M.[Marcin], Hensel, C.[Carlo], Merhof, D.[Dorit],
An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models,
IPTA16(1-6)
IEEE DOI 1703
computer vision 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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Yu, X.[Xiang], Zhou, F.[Feng], Chandraker, M.[Manmohan],
Deep Deformation Network for Object Landmark Localization,
ECCV16(V: 52-70).
Springer DOI 1611
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O'Neil, A.[Alison], Dabbah, M.[Mohammad], Poole, I.[Ian],
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext,
MLMI16(139-146).
Springer DOI 1611
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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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MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes,
ECCV16(V: 19-35).
Springer DOI 1611
Face recognition, Feature extraction, Probes, Protocols, Training BibRef

Rozsa, A., Rudd, E.M.[Ethan M.], Boult, T.E.[Terrance E.],
Adversarial Diversity and Hard Positive Generation,
DeepLearn-C16(410-417)
IEEE DOI 1612
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Rai, M.C.E., Tortorici, C., Al-Muhairi, H., Linguraru, M.G., Werghi, N.,
3D constrained local model with independent component analysis and non-Gaussian shape prior distribution: Application to 3D facial landmark detection,
ICIP16(3204-3208)
IEEE DOI 1610
Face BibRef

Baddar, W.J., Son, J., Kim, D.H., Kim, S.T., Ro, Y.M.,
A deep facial landmarks detection with facial contour and facial components constraint,
ICIP16(3209-3213)
IEEE DOI 1610
Computer vision BibRef

Peng, B., Wang, W., Dong, J., Tan, T.,
Automatic detection of 3D lighting inconsistencies via a facial landmark based morphable model,
ICIP16(3932-3936)
IEEE DOI 1610
Estimation BibRef

Abbad, A., Abbad, K., Tairi, H.,
Face Recognition Based on City-Block and Mahalanobis Cosine Distance,
CGiV16(112-114)
IEEE DOI 1608
face recognition BibRef

Yang, H., Zhang, R., Robinson, P.,
Human and sheep facial landmarks localisation by triplet interpolated features,
WACV16(1-8)
IEEE DOI 1606
Animals BibRef

Mallikarjun, B.R., Chari, V., Jawahar, C.V., Asthana, A.,
Face fiducial detection by consensus of exemplars,
WACV16(1-9)
IEEE DOI 1606
Active appearance model 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)
IEEE DOI 1603
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)
IEEE DOI 1602
Computational modeling BibRef

Lin, C.W.[Chih-Wei], Lu, K.Y.[Kuan-Yin],
Local Clustering Patterns in Polar Coordinate for Face Recognition,
PSIVT15(656-666).
Springer DOI 1602
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Chen, X.M.[Xian-Ming], Zhang, W.Y.[Wen-Yin], Zhang, C.Y.[Chao-Yang], Zhou, Z.X.[Zhao-Xian],
Improve Non-graph Matching Feature-Based Face Recognition Performance by Using a Multi-stage Matching Strategy,
ISVC15(II: 248-257).
Springer DOI 1601
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Duan, X.D.[Xiao-Dong], Tan, Z.H.[Zheng-Hua],
Local feature learning for face recognition under varying poses,
ICIP15(2905-2909)
IEEE DOI 1512
Face recognition BibRef

Zhao, Z.[Zhong], Feng, G.C.[Guo-Can], Zhang, L.F.[Li-Fang], Zhu, J.H.[Jie-Hua],
Maximum entropy regularized group collaborative representation for face recognition,
ICIP15(291-295)
IEEE DOI 1512
Collaborative representation BibRef

del Coco, M.[Marco], Carcagnì, P.[Pierluigi], Palestra, G.[Giuseppe], Leo, M.[Marco], Distante, C.[Cosimo],
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Mostafa, E.A.[Eslam A.], Ali, A.A.[Asem A.], Shalaby, A.[Ahmed], Farag, A.A.[Aly A.],
A facial features detector integrating holistic facial information and part-based model,
Biometrics15(93-99)
IEEE DOI 1510
Detectors BibRef

Zhang, N.[Ning], Paluri, M.[Manohar], Taigman, Y.[Yaniv], Fergus, R.[Rob], Bourdev, L.[Lubomir],
Beyond frontal faces: Improving Person Recognition using multiple cues,
CVPR15(4804-4813)
IEEE DOI 1510
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Gorbatsevich, V.S.,
Facial Features Detection Using Texture Hough Transform,
PTVSBB15(107-111).
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Kim, Y.Y.[Yoon Young], Hong, S.J.[Sung Jin], Rhee, J.H.[Ji Hye], Nam, M.Y.[Mi Young], Rhee, P.K.[Phill Kyu],
Robust Facial Feature Localization using Data-Driven Semi-supervised Learning Approach,
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Liu, X.[Xin], Shan, S.G.[Shi-Guang], Li, S.X.[Shao-Xin], Hauptmann, A.G.[Alexander G.],
Everything is in the Face? Represent Faces with Object Bank,
FSLCV14(III: 180-193).
Springer DOI 1504
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Sim, T.[Terence], Wei, J.[Jing], Ooi, W.T.[Wei Tsang],
What does computer vision say about face reading?,
ICIP14(1405-1409)
IEEE DOI 1502
Ancient Chinese practice that assesses a person's personality traits by applying a set of rules on facial features. No evidence to support this found. BibRef

Zhong, Y.[Yang], Li, H.B.[Hai-Bo],
Is block matching an alternative tool to LBP for face recognition?,
ICIP14(723-727)
IEEE DOI 1502
Accuracy BibRef

Liu, Y.Y.[Yuan-Yuan], Chen, J.Y.[Jing-Ying], Shan, C.J.[Cun-Jie],
Dirichlet-tree distribution enhanced random forests for facial feature detection,
ICIP14(234-238)
IEEE DOI 1502
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)
IEEE DOI 1502
face recognition BibRef

Yan, Y.[Yan], Nie, J.[Jie], Huang, L.[Lei], Li, Z.[Zhen], Cao, Q.L.[Qing-Lei], Wei, Z.Q.[Zhi-Qiang],
Exploring Relationship Between Face and Trustworthy Impression Using Mid-level Facial Features,
MMMod16(I: 540-549).
Springer DOI 1601
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Is Your First Impression Reliable? Trustworthy Analysis Using Facial Traits in Portraits,
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Romero-H., R.A.[Reimer-A.], Renero-C., F.J.[Francisco-J.],
A Deformable Model to Search Characteristic Facial Points,
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Gong, D.H.[Di-Hong], Li, Z.F.[Zhi-Feng], Tao, D.C.[Da-Cheng], Liu, J.Z.[Jian-Zhuang], Li, X.L.[Xue-Long],
A maximum entropy feature descriptor for age invariant face recognition,
CVPR15(5289-5297)
IEEE DOI 1510
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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

Leventic, H.[Hrvoje], Livada, C.[Caslav], Gaclic, I.[Irena],
Towards fixed facial features face recognition,
WSSIP14(267-270) 1406
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Feng, R.R.[Ran-Ran], Prabhakaran, B.[Balakrishnan],
A novel method for post-surgery face recognition using sum of facial parts recognition,
WACV14(1082-1089)
IEEE DOI 1406
Accuracy; Face; Face recognition; Feature extraction; Nose; Skin; Surgery BibRef

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],
Two classifiers based on nearest feature plane for recognition,
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],
Coupled latent least squares regression for heterogeneous face recognition,
ICIP13(2772-2776)
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Heterogeneous face recognition BibRef

Bellati, J.[Jacopo], Borges, D.L.[Díbio Leandro],
Relative Spatial Weighting of Features for Localizing Parts of Faces,
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Chrysos, G.G., Antonakos, E., Zafeiriou, S.P.[Stefanos P.], Snape, P.,
Offline Deformable Face Tracking in Arbitrary Videos,
FaceWild15(954-962)
IEEE DOI 1602
Deformable models BibRef

Shen, J., Zafeiriou, S.P.[Stefanos P.], Chrysos, G.G., Kossaifi, J., Tzimiropoulos, G.[Georgios], Pantic, M.[Maja],
The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results,
FaceWild15(1003-1011)
IEEE DOI 1602
Benchmark testing. The 300-VW test. Overview of the workshop. BibRef

Sagonas, C.[Christos], Tzimiropoulos, G.[Georgios], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
A Semi-automatic Methodology for Facial Landmark Annotation,
AMFG13(896-903)
IEEE DOI 1309
Face analysis Facial point detection BibRef

Sukno, F.M., Waddington, J.L., Whelan, P.F.,
Compensating inaccurate annotations to train 3D facial landmark localization models,
FG13(1-8)
IEEE DOI 1309
learning (artificial intelligence) BibRef

Mariappan, V.V.[Vijayachandran V.], Jadhav, R.A.[Rahul A.], Sharma, P.B.[Puneet B.],
A new face descriptor using local un-quantized patterns,
ICSIPR13(318-321).
IEEE DOI 1304
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Huang, L.[Likun], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
Learning modality-invariant features for heterogeneous face recognition,
ICPR12(1683-1686).
WWW Link. 1302
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Fang, Y.C.[Yu-Chun], Tan, Y.[Ying], Yu, C.J.[Chan-Juan],
Coherence Analysis of Metrics in LBP Space for Interactive Face Retrieval,
MMMod14(I: 13-24).
Springer DOI 1405
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Jiang, W.[Wei], Fang, Y.C.[Yu-Chun], Zhou, Z.H.[Zhong-Hua], Tan, Y.[Ying],
Active Shape Model with random forest for facial features detection,
ICPR12(593-596).
WWW Link. 1302
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Zhu, P.F.[Peng-Fei], Zhang, L.[Lei], Hu, Q.H.[Qing-Hua], Shiu, S.C.K.[Simon C. K.],
Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization,
ECCV12(I: 822-835).
Springer DOI 1210
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Sethuram, A.[Amrutha], Ricanek, K.[Karl], Saragih, J.[Jason], Boehnen, C.[Chris],
Facial Landmarking: Comparing Automatic Landmarking Methods with Applications in Soft Biometrics,
Face12(II: 290-299).
Springer DOI 1210
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Li, H.X.[Hao-Xiang], Hua, G.[Gang],
Hierarchical-PEP model for real-world face recognition,
CVPR15(4055-4064)
IEEE DOI 1510
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Li, H.X.[Hao-Xiang], Lin, Z.[Zhe], Brandt, J.[Jonathan], Shen, X.H.[Xiao-Hui], Hua, G.[Gang],
Efficient Boosted Exemplar-Based Face Detection,
CVPR14(1843-1850)
IEEE DOI 1409
BibRef

Le, V.[Vuong], Brandt, J.[Jonathan], Lin, Z.[Zhe], Bourdev, L.[Lubomir], Huang, T.S.[Thomas S.],
Interactive Facial Feature Localization,
ECCV12(III: 679-692).
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],
Exemplar-Based Face Parsing,
CVPR13(3484-3491)
IEEE DOI 1309
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Méndez, N.[Nelson], Chang, L.[Leonardo], Plasencia-Calaña, Y.[Yenisel], Méndez-Vázquez, H.[Heydi],
Facial Landmarks Detection Using Extended Profile LBP-Based Active Shape Models,
CIARP13(II:407-414).
Springer DOI 1311
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Martínez-Díaz, Y.[Yoanna], Hernández, N.[Noslen], Méndez-Vázquez, H.[Heydi],
Face Detection in Video Using Local Spatio-temporal Representations,
CIARP14(860-867).
Springer DOI 1411
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Plasencia-Calaña, Y.[Yenisel], Méndez-Vázquez, H.[Heydi], Fonseca, R.L.[Rainer Larin],
Face Composite Sketch Recognition by BoVW-Based Discriminative Representations,
CIARP16(200-207).
Springer DOI 1703
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Plasencia-Calaña, Y.[Yenisel], Li, Y.[Yan], Duin, R.P.W.[Robert P. W.], Orozco-Alzate, M.[Mauricio], Loog, M.[Marco], García-Reyes, E.[Edel],
A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection,
CIARP16(150-157).
Springer DOI 1703
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Martínez-Díaz, Y.[Yoanna], Méndez-Vázquez, H.[Heydi], Plasencia-Calaña, Y.[Yenisel], García-Reyes, E.B.[Edel B.],
Dissimilarity Representations Based on Multi-Block LBP for Face Detection,
CIARP12(106-113).
Springer DOI 1209
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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
BibRef
And:
Hierarchical face parsing via deep learning,
CVPR12(2480-2487).
IEEE DOI 1208
attributes; deep learning; face recognition See also Deep Learning Strong Parts for Pedestrian Detection. BibRef

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],
Combining Face with Face-Part Detectors under Gaussian Assumption,
ICIAR12(II: 80-89).
Springer DOI 1206
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Patnaik, R., Gupta, R., Mittal, A.,
Local Ternary Patterns and Maximum Bipartite Matching for Face Recognition,
NCVPRIPG11(158-161).
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,
NCVPRIPG11(54-57).
IEEE DOI 1205
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Handling pose variation in face recognition using SIFT,
AIPR11(1-4).
IEEE DOI 1204
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Kostinger, M.[Martin], Wohlhart, P.[Paul], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization,
BenchFace11(2144-2151).
IEEE DOI 1201
Dataset, Faces, Features. BibRef

Li, J.W.[Jiang-Wei], Xu, L.[Lei], Wang, K.Q.[Kong-Qiao], Ma, Y.[Yong], Xiong, T.[Tao],
Local primitive code mining for fast and accurate face recognition,
ICIP11(3029-3032).
IEEE DOI 1201
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Kitanovski, V.[Vlado], Izquierdo, E.[Ebroul],
Augmented reality mirror for virtual facial alterations,
ICIP11(1093-1096).
IEEE DOI 1201
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Das, A.[Apurba], Ghosh, K.[Kuntal],
Enhancing face matching in a suitable binary environment,
ICIIP11(1-6).
IEEE DOI 1112
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Das, A.[Apurba], Mitra, S.[Soma], Parua, S.[Suparna],
Hierarchical clustering on texture statistics for search space reduction of large scale face recognition,
ICIIP11(1-6).
IEEE DOI 1112
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Yoon, J.M.[Jong-Min], Kim, D.J.[Dai-Jin],
Frontal face classifier using AdaBoost with MCT features,
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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Liu, N.[Na], Lai, J.H.[Jian-Huang], Qiu, H.N.[Hui-Ning],
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],
Similarity Measures for Face Images: An Experimental Study,
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,
ICCVG10(I: 300-307).
Springer DOI 1009
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Zhou, Z.[Zihan], Wagner, A.[Andrew], Mobahi, H.[Hossein], Wright, J.[John], Ma, Y.[Yi],
Face recognition with contiguous occlusion using markov random fields,
ICCV09(1050-1057).
IEEE DOI 0909
BibRef

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
BibRef

Hanselmann, H.[Harald], Ney, H.[Hermann],
Learning Local Convolutional Features for Face Recognition with 2D-Warping,
LocalFea16(III: 747-758).
Springer DOI 1611
BibRef
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,
IbPRIA13(11-20).
Springer DOI 1307
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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).
PDF File. 0909
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Abiantun, R.[Ramzi], Prabhu, U.[Utsav], Seshadri, K.[Keshav], Heo, J.G.[Jin-Gu], Savvides, M.[Marios],
An analysis of facial shape and texture for recognition: A large scale evaluation on FRGC ver2.0,
WACV11(212-219).
IEEE DOI 1101
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Abiantun, R., Savvides, M.[Marios],
Dynamic three-bin real AdaBoost using biased classifiers: An application in face detection,
BTAS09(1-6).
IEEE DOI 0909
BibRef
Earlier:
Boosted multi image features for improved face detection,
AIPR08(1-8).
IEEE DOI 0810
BibRef

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:
Face recognition using multiple interest point detectors and SIFT descriptors,
FG08(1-7).
IEEE DOI 0809
BibRef

Li, P.[Peng], Prince, S.J.D.[Simon J.D.],
Joint and implicit registration for face recognition,
CVPR09(1510-1517).
IEEE DOI 0906
Find face features using details from the test image rather than generic information. BibRef

Nishiyama, M.[Masashi], Hadid, A.[Abdenour], Takeshima, H.[Hidenori], Shotton, J.D.J.[Jamie D.J.], Kozakaya, T.[Tatsuo], Yamaguchi, O.[Osamu],
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces,
PAMI(33), No. 4, April 2011, pp. 838-845.
IEEE DOI 1103
BibRef
Earlier: A1, A3, A4, A5, A6, Only:
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CVPR09(1115-1122).
IEEE DOI 0906
How to infer the PSF representing the blur. Then Recognize the face. BibRef

Vo, N.[Nhat], Vo, D.[Duc], Challa, S., Moran, B.,
Compressed sensing for face recognition,
CIIP09(104-109).
IEEE DOI 0903
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Min, F.[Feng], Lin, L.[Liang], Sang, N.[Nong],
An empirical study of facial components classification by integrating dimensionality reduction and clustering,
ICPR08(1-4).
IEEE DOI 0812
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Johnson, M.K.[Micah K.], Farid, H.[Hany],
Detecting Photographic Composites of People,
DW07(19-33).
Springer DOI 0712
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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,
CVPR09(1629-1634).
IEEE DOI 0906
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Zhao, S.Q.[San-Qiang], Gao, Y.S.[Yong-Sheng],
Establishing point correspondence using multidirectional binary pattern for face recognition,
ICPR08(1-4).
IEEE DOI 0812
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And:
Significant jet point for facial image representation and recognition,
ICIP08(1664-1667).
IEEE DOI 0810
See also On averaging face images for recognition under pose variations. BibRef

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
BibRef
And:
Logit-RankBoost with pruning for face recognition,
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,
ISVC08(II: 278-286).
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,
ICB07(683-691).
Springer DOI 0708
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Maggini, M.[Marco], Melacci, S.[Stefano], Sarti, L.[Lorenzo],
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,
SCIA07(61-71).
Springer DOI 0706
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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,
MIRAGE07(421-429).
Springer DOI 0703
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).
Springer DOI 0601
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Zhou, D.[Dake], Yang, X.[Xin],
Feature Fusion Based Face Recognition Using EFM,
ICIAR04(II: 643-650).
Springer DOI 0409
BibRef

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).
WWW Link. 0411
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Zhao, S.Y.[Shu-Yan], Grigat, R.R.,
Multiblock-fusion scheme for face recognition,
ICPR04(I: 309-312).
IEEE DOI 0409
See also Robust Eye Detection under Active Infrared Illumination. BibRef

Shan, S.G.[Shi-Guang], Chang, Y.Z.[Yi-Zheng], Gao, W.[Wen], Cao, B.[Bo], Yang, P.[Peng],
Curse of Mis-Alignment in Face Recognition: Problem and a Novel Mis-Alignment Learning Solution,
AFGR04(314-320).
WWW Link. 0411
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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.],
Role of Featural and Configural Information in Familiar and Unfamiliar Face Recognition,
BMCV02(643 ff.).
Springer DOI 0303
BibRef

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
BibRef

Nagao, K.[Kenji],
Face Recognition by Distribution Specific Feature Extraction,
CVPR00(I: 278-285).
IEEE DOI 0005
BibRef

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).
PS File. BibRef 9900

Fraga Bobis, C., Corsino Gonzalez, R., Cancelas, J.A., Alvarez, I., Enguita, J.M.,
Face recognition using binary thresholding for features extraction,
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.,
Face Recognition by Feature Orientation and Feature Geometry Matching,
ICPR96(III: 401-405).
IEEE DOI 9608
(TH) BibRef

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.],
Feature-Based Face Recognition Using Mixture Distance,
CVPR96(209-216).
IEEE DOI BibRef 9600
And: NEC TR
PS File. BibRef

Manjunath, B.S., Chellappa, R., and von der Malsburg, C.[Christoph],
A Feature Based Approach to Face Recognition,
CVPR92(373-378).
IEEE DOI Find features and match. A good set of data, what worked and what did not. BibRef 9200

Manjunath, B.S., Shekhar, C., Chellappa, R., von der Malsburg, C.[Christoph],
A robust method for detecting image features with application to face recognition and motion correspondence,
ICPR92(II:208-212).
IEEE DOI 9208
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Gordon, G.G.[Gaile G.],
Face Recognition Based on Depth and Curvature Features,
CVPR92(808-810).
IEEE DOI BibRef 9200
Earlier:
Face Recognition Based on Depth Maps and Surface Curvature,
SPIE(1570), 1991, pp. 234-247. BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- High Level Facial Features, Sketches .


Last update:Sep 25, 2017 at 16:36:46