21.2.8.2 Face Analysis, Facial Landmarks

Chapter Contents (Back)
Face Recognition. Facial Landmarks. Landmarks.

Takacs, B.[Barnabas], Wechsler, H.[Harry],
A Dynamic and Multiresolution Model of Visual Attention and Its Application to Facial Landmark Detection,
CVIU(70), No. 1, April 1998, pp. 63-73.
DOI Link BibRef 9804
Earlier:
Visual filters for face recognition,
AFGR96(218-223).
IEEE DOI 9610
BibRef
Earlier:
Locating Facial Features Using SOFM,
ICPR94(B:55-60).
IEEE DOI BibRef

Takács, B.[Barnabás], Wechsler, H.[Harry],
Detection of Faces and Facial Landmarks Using Iconic Filter Banks,
PR(30), No. 10, October 1997, pp. 1623-1636.
Elsevier DOI 9712
BibRef
And:
Fast Searching of Digital Face Libraries Using Binary Image Metrics,
ICPR98(Vol II: 1235-1237).
IEEE DOI 9808
BibRef
And:
Face Recognition Using Binary Image Metrics,
AFGR98(294-299).
IEEE DOI BibRef

Fasel, I.R.[Ian R.], Fortenberry, B.[Bret], Movellan, J.R.[Javier R.],
A generative framework for real time object detection and classification,
CVIU(98), No. 1, April 2005, pp. 182-210.
Elsevier DOI 0412
To find eyes and blinks. BibRef

Fasel, I.R., Bartlett, M.S., Movellan, J.R.,
A comparison of gabor filter methods for automatic detection of facial landmarks,
AFGR02(231-235).
IEEE DOI 0206
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.
Elsevier DOI 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

Zhao, X.W.[Xiao-Wei], Chai, X.J.[Xiu-Juan], Niu, Z.H.[Zhi-Heng], Heng, C.[Cherkeng], Shan, S.G.[Shi-Guang],
Context modeling for facial landmark detection based on Non-Adjacent Rectangle (NAR) Haar-like feature,
IVC(30), No. 3, March 2012, pp. 136-146.
Elsevier DOI 1204
BibRef
Earlier:
Context constrained facial landmark localization based on discontinuous Haar-like feature,
FG11(673-678).
IEEE DOI 1103
Context modeling; Face detection; Facial landmark detection; NAR Haar-like feature; Co-occurrence BibRef

Zhao, X.W.[Xiao-Wei], Kim, T.K.[Tae-Kyun], Luo, W.H.[Wen-Han],
Unified Face Analysis by Iterative Multi-output Random Forests,
CVPR14(1765-1772)
IEEE DOI
WWW Link. 1409
BibRef

Zhao, X.W.[Xiao-Wei], Shan, S.G.[Shi-Guang], Chai, X.J.[Xiu-Juan], Chen, X.L.[Xi-Lin],
Cascaded Shape Space Pruning for Robust Facial Landmark Detection,
ICCV13(1033-1040)
IEEE DOI 1403
BibRef

Zhao, X.W.[Xiao-Wei], Chai, X.J.[Xiu-Juan], Shan, S.G.[Shi-Guang],
Joint Face Alignment: Rescue Bad Alignments with Good Ones by Regularized Re-fitting,
ECCV12(II: 616-630).
Springer DOI 1210
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

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

Feng, Z.H.[Zhen-Hua], Kittler, J.V., Christmas, W.J., Huber, P., Wu, X.J.[Xiao-Jun],
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting,
CVPR17(3681-3690)
IEEE DOI 1711
Feature extraction, Shape, Solid modeling, Training, Training data, Two, dimensional, displays BibRef

Martinez, B.[Brais], Pantic, M.[Maja],
Facial landmarking for in-the-wild images with local inference based on global appearance,
IVC(36), No. 1, 2015, pp. 40-50.
Elsevier DOI 1504
Facial landmarking BibRef

Luo, C.W.[Chang-Wei], Wang, Z.F.[Zeng-Fu], Wang, S.B.[Shao-Biao], Zhang, J.Y.[Ju-Yong], Yu, J.[Jun],
Locating Facial Landmarks Using Probabilistic Random Forest,
SPLetters(22), No. 12, December 2015, pp. 2324-2328.
IEEE DOI 1512
face recognition BibRef

Zhang, Z.P.[Zhan-Peng], Luo, P.[Ping], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Learning Deep Representation for Face Alignment with Auxiliary Attributes,
PAMI(38), No. 5, May 2016, pp. 918-930.
IEEE DOI 1604
BibRef
And:
Joint Face Representation Adaptation and Clustering in Videos,
ECCV16(III: 236-251).
Springer DOI 1611
BibRef
Earlier:
Learning Social Relation Traits from Face Images,
ICCV15(3631-3639)
IEEE DOI 1602
BibRef
Earlier:
Facial Landmark Detection by Deep Multi-task Learning,
ECCV14(VI: 94-108).
Springer DOI 1408
convergence. Cognition; Computer vision; Face; Face recognition; Psychology; Videos 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

Bian, P.[Peng], Xie, Z.N.[Zheng-Nan], Jin, Y.[Yi],
Multi-task feature learning-based improved supervised descent method for facial landmark detection,
SIViP(12), No. 1, January 2018, pp. 17-24.
WWW Link. 1801
BibRef

Zhang, Z.P.[Zhan-Peng], Luo, P.[Ping], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
From Facial Expression Recognition to Interpersonal Relation Prediction,
IJCV(126), No. 5, May 2018, pp. 550-569.
Springer DOI 1804
BibRef

Yang, S.[Shuo], Luo, P.[Ping], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Faceness-Net: Face Detection through Deep Facial Part Responses,
PAMI(40), No. 8, August 2018, pp. 1845-1859.
IEEE DOI 1807
Detectors, Face, Face detection, Mouth, Neural networks, Proposals, Training, Face detection, convolutional neural network, deep learning BibRef
Earlier:
WIDER FACE: A Face Detection Benchmark,
CVPR16(5525-5533)
IEEE DOI 1612
Dataset, Face Detection. BibRef
Earlier:
From Facial Parts Responses to Face Detection: A Deep Learning Approach,
ICCV15(3676-3684)
IEEE DOI 1602
Detectors; Face; Face detection; Hair; Mouth; Nose; Proposals BibRef

Sun, Y.[Yi], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Hybrid Deep Learning for Face Verification,
PAMI(38), No. 10, October 2016, pp. 1997-2009.
IEEE DOI 1609
BibRef
And:
Sparsifying Neural Network Connections for Face Recognition,
CVPR16(4856-4864)
IEEE DOI 1612
BibRef
Earlier: ICCV13(1489-1496)
IEEE DOI 1403
BibRef
And:
Deep Learning Face Representation from Predicting 10,000 Classes,
CVPR14(1891-1898)
IEEE DOI 1409
BibRef
And:
Deep Convolutional Network Cascade for Facial Point Detection,
CVPR13(3476-3483)
IEEE DOI 1309
Computational modeling. deep learning; face verification; relational visual features. Convolutional Network; Facial Point Detection BibRef

Zhu, Z.Y.[Zhen-Yao], Luo, P.[Ping], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Deep Learning Identity-Preserving Face Space,
ICCV13(113-120)
IEEE DOI 1403
deep learning; face recognition BibRef

Liu, Y., Zhou, X., Li, Y., Shao, X., Zhou, X.,
Robust facial landmark detection using mixture of discriminative visibility-aware models,
IET-IPR(10), No. 10, 2016, pp. 733-741.
DOI Link 1610
face recognition BibRef

Huang, K.K.[Ke-Kun], Dai, D.Q.[Dao-Qing], Ren, C.X.[Chuan-Xian], Yu, Y.F.[Yu-Feng], Lai, Z.R.[Zhao-Rong],
Fusing landmark-based features at kernel level for face recognition,
PR(63), No. 1, 2017, pp. 406-415.
Elsevier DOI 1612
Face recognition BibRef

Fan, X., Liu, R., Luo, Z., Li, Y., Feng, Y.,
Explicit Shape Regression With Characteristic Number for Facial Landmark Localization,
MultMed(20), No. 3, March 2018, pp. 567-579.
IEEE DOI 1802
Active appearance model, Geometry, Multimedia communication, Robustness, Shape, Training, Vegetation, regression learning BibRef

Chrysos, G.G.[Grigorios G.], Antonakos, E.[Epameinondas], Snape, P.[Patrick], Asthana, A.[Akshay], Zafeiriou, S.P.[Stefanos P.],
A Comprehensive Performance Evaluation of Deformable Face Tracking 'In-the-Wild',
IJCV(126), No. 2-4, April 2018, pp. 198-232.
Springer DOI 1804
BibRef
Earlier: A1, A2, A5, A3, Only:
Offline Deformable Face Tracking in Arbitrary Videos,
FaceWild15(954-962)
IEEE DOI 1602
Deformable models BibRef

Chrysos, G.G.[Grigorios G.], Zafeiriou, S.P.[Stefanos P.],
PD2T: Person-Specific Detection, Deformable Tracking,
PAMI(40), No. 11, November 2018, pp. 2555-2568.
IEEE DOI 1810
Pipelines, Animals, Adaptation models, Shape, Computational modeling, Strain, Deformable models, adaptive tracking, long-term tracking BibRef

Chrysos, G.G.[Grigorios G.], Antonakos, E.[Epameinondas], Zafeiriou, S.P.[Stefanos P.],
IPST: Incremental Pictorial Structures for Model-Free Tracking of Deformable Objects,
IP(27), No. 7, July 2018, pp. 3529-3540.
IEEE DOI 1805
Adaptation models, Computational modeling, Deformable models, Principal component analysis, Shape, Target tracking, pictorial structures 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

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

Zafeiriou, S., Chrysos, G.G., Roussos, A., Ververas, E., Deng, J., Trigeorgis, G.,
The 3D Menpo Facial Landmark Tracking Challenge,
300FaceWild17(2503-2511)
IEEE DOI 1802
Cameras, Face, Shape, Solid modeling, Videos 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

Zeng, J., Liu, S., Li, X., Mahdi, D.A., Wu, F., Wang, G.,
Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling,
IP(27), No. 5, May 2018, pp. 2096-2107.
IEEE DOI 1804
face recognition, feature extraction, learning (artificial intelligence), regression analysis, tree-structured modeling BibRef

Lai, H., Xiao, S., Pan, Y., Cui, Z., Feng, J., Xu, C., Yin, J., Yan, S.,
Deep Recurrent Regression for Facial Landmark Detection,
CirSysVideo(28), No. 5, May 2018, pp. 1144-1157.
IEEE DOI 1805
Face, Feature extraction, Image resolution, Pipelines, Shape, Visualization, Cascaded regression, shape-indexed features BibRef

Wu, Y.H.[Yu-Hang], Shah, S.K.[Shishir K.], Kakadiaris, I.A.[Ioannis A.],
GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild,
IVC(73), 2018, pp. 1-16.
Elsevier DOI 1805
Deep learning, Facial landmark localization, Face alignment, Face recognition BibRef

Hsu, G.S.J.[Gee-Sern Jison], Ambikapathi, A.[Arul_Murugan], Chung, S.L.[Sheng-Luen], Shie, H.C.[Hung-Cheng],
Robust cross-pose face recognition using landmark oriented depth warping,
JVCIR(53), 2018, pp. 273-280.
Elsevier DOI 1805
Face recognition, Cross-pose, Facial landmarks, Depth warping, Sparse reconstruction, RTSM, PIE and Multi-PIE database BibRef

Li, C., Gunther, M., Boult, T.E.,
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering,
WACV18(131-140)
IEEE DOI 1806
data analysis, face recognition, feature extraction, learning (artificial intelligence), pattern clustering, Task analysis BibRef

Perrot, R.[Romuald], Bourdon, P.[Pascal], Helbert, D.[David],
Sampling strategies for performance improvement in cascaded face regression,
JVCIR(55), 2018, pp. 841-852.
Elsevier DOI 1809
Face landmarking, Regression, Sampling, Data augmentation BibRef

Wu, Y.[Yue], Hassner, T.[Tal], Kim, K.[Kanggeon], Medioni, G.G.[Gérard G.], Natarajan, P.[Prem],
Facial Landmark Detection with Tweaked Convolutional Neural Networks,
PAMI(40), No. 12, December 2018, pp. 3067-3074.
IEEE DOI 1811
Face recognition, Neural networks, Feature extraction, Magnetic heads, Training data, Gesture recognition, Neural nets BibRef

Hsu, G., Shie, H., Hsieh, C., Chan, J.,
Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition,
CirSysVideo(28), No. 11, November 2018, pp. 3194-3207.
IEEE DOI 1811
Face, Feature extraction, Image reconstruction, Face recognition, face recognition BibRef


Yu, J.[Jun], Sun, Y.C.[Yue-Chuan],
Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest,
ICIP18(3643-3647)
IEEE DOI 1809
Shape, Forestry, Training, Vegetation, Estimation, Probabilistic logic, Faciallandmark, facial action BibRef

Yu, J.[Jun], Chen, C.W.[Chang Wen],
Joint facial landmark detection and action estimation based on deep probabilistic random forest,
VCIP17(1-4)
IEEE DOI 1804
face recognition, feature extraction, iterative methods, learning (artificial intelligence), regression analysis, random forest BibRef

Huang, R., Xie, X., Feng, Z., Lai, J.,
Face recognition by landmark pooling-based CNN with concentrate loss,
ICIP17(1582-1586)
IEEE DOI 1803
Benchmark testing, Computational modeling, Convolutional neural networks, Face, Face recognition, Measurement, landmark pooling BibRef

Lee, H.J.[Hong Joo], Baddar, W.J.[Wissam J.], Kim, H.G.[Hak Gu], Kim, S.T.[Seong Tae], Ro, Y.M.[Yong Man],
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network,
MMMod18(I:493-504).
Springer DOI 1802
BibRef

Lv, J., Shao, X., Xing, J., Cheng, C., Zhou, X.,
A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection,
CVPR17(3691-3700)
IEEE DOI 1711
Computer architecture, Detectors, Face, Machine learning, Robustness, Shape 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

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], Liu, L., Nie, X., Wang, W., Yan, S., Kassim, A.[Ashraf],
Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection,
ICCV17(1642-1651)
IEEE DOI 1802
face recognition, feature extraction, learning (artificial intelligence), pose estimation, 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
BibRef

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

Kim, K.[Kang_Geon], Baltrušaitis, T.[Tadas], Zadeh, A.[Amirali], Morency, L.P.[Louis-Philippe], Medioni, G.[Gérard],
Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection,
BMVC16(xx-yy).
HTML Version. 1805
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

Jeong, M., Kwak, J.[Joon_Young], 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

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
BibRef

Steger, A.[Andreas], Timofte, R.[Radu],
Failure Detection for Facial Landmark Detectors,
WFI16(II: 361-376).
Springer DOI 1704
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

Yu, X.[Xiang], Zhou, F.[Feng], Chandraker, M.[Manmohan],
Deep Deformation Network for Object Landmark Localization,
ECCV16(V: 52-70).
Springer DOI 1611
BibRef

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
BibRef

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

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

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
BibRef

Xu, Y.[Yanyu], Gao, S.H.[Sheng-Hua],
Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection,
3DFAW16(II: 536-551).
Springer DOI 1611
BibRef

Xiao, S., Yan, S., Kassim, A.A.[Ashraf A.],
Facial Landmark Detection via Progressive Initialization,
FaceWild15(986-993)
IEEE DOI 1602
Face BibRef

Vogt, K.[Karsten], Müller, O.[Oliver], Ostermann, J.[Jörn],
Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling,
ISVC15(II: 365-376).
Springer DOI 1601
BibRef

Hsu, G.S.[Gee-Sern], Chang, K.H.[Kai-Hsiang], Huang, S.C.[Shih-Chieh],
Regressive Tree Structured Model for Facial Landmark Localization,
ICCV15(3855-3861)
IEEE DOI 1602
Computational modeling BibRef

Hsu, G.S.[Gee-Sern], Chang, K.H.[Kai-Hsiang], Huang, S.C.[Shih-Chieh], Chung, S.L.[Sheng-Luen],
Face detection and landmark localization using Bilayer Tree Structured Model,
ICIP15(4303-4307)
IEEE DOI 1512
Deformable Part Model; Face Detection; Facial Landmark Localization BibRef

Guo, R.[Rui], Qi, H.R.[Hai-Rong],
Facial feature parsing and landmark detection via low-rank matrix decomposition,
ICIP15(3773-3777)
IEEE DOI 1512
Facial feature parsing BibRef

Chen, Y.[Yu], Luo, W.[Wei], Yang, J.[Jian],
Facial landmark detection via pose-induced auto-encoder networks,
ICIP15(2115-2119)
IEEE DOI 1512
Deep Auto-encoder; Facial landmark; Pose-induced BibRef

Hou, Q.[Qiqi], Wang, J.[Jinjun], Cheng, L.[Lele], Gong, Y.H.[Yi-Hong],
Facial landmark detection via cascade multi-channel convolutional neural network,
ICIP15(1800-1804)
IEEE DOI 1512
CMC-CNN; Face Alignment; Global Feature; Local Feature BibRef

Dong, Y.C.[Yan-Chao], Wang, Y.M.[Yan-Ming], Yue, J.G.[Ji-Guang], Hu, Z.C.[Zhen-Cheng],
Robust facial landmark localization using multi partial features,
ICIP15(98-102)
IEEE DOI 1512
Facial Alignment BibRef

Smith, B.M.[Brandon M.], Brandt, J.[Jonathan], Lin, Z.[Zhe], Zhang, L.[Li],
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization,
CVPR14(1741-1748)
DOI Link 1409
BibRef

Smith, B.M.[Brandon M.], Zhang, L.[Li],
Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets,
ECCV14(VI: 78-93).
Springer DOI 1408
BibRef

Burgos-Artizzu, X.P.[Xavier P.], Perona, P.[Pietro], Dollar, P.[Piotr],
Robust Face Landmark Estimation under Occlusion,
ICCV13(1513-1520)
IEEE DOI 1403
Face recognition; Face shape; Landmark estimation; Pose estimation BibRef

Zhou, F.[Feng], Brandt, J.[Jonathan], Lin, Z.[Zhe],
Exemplar-Based Graph Matching for Robust Facial Landmark Localization,
ICCV13(1025-1032)
IEEE DOI 1403
BibRef

Zhou, L.B.[Lu-Bing], Wang, H.[Han],
Facial landmark localization via boosted and adaptive filters,
ICIP13(519-523)
IEEE DOI 1402
Adaptive filters BibRef

Galoogahi, H.K.[Hamed Kiani], Sim, T.[Terence],
Correlation filter cascade for facial landmark localization,
WACV16(1-8)
IEEE DOI 1606
BibRef
And:
Face sketch recognition by Local Radon Binary Pattern: LRBP,
ICIP12(1837-1840).
IEEE DOI 1302
Correlation; Face; Feature extraction; Robustness; Shape; Testing; Training BibRef

Galoogahi, H.K.[Hamed Kiani], Sim, T.[Terence], Lucey, S.[Simon],
Correlation filters with limited boundaries,
CVPR15(4630-4638)
IEEE DOI 1510
BibRef

Liu, A.[Ang], Du, Y.Z.[Yang-Zhou], Wang, T.[Tao], Li, J.G.[Jian-Guo], Li, E.Q.[Eric Q], Zhang, Y.M.[Yi-Min], Zhao, Y.[Yong],
Fast facial landmark detection using cascade classifiers and a simple 3D model,
ICIP11(845-848).
IEEE DOI 1201
BibRef

Yu, X.[Xiang], Yang, F.[Fei], Huang, J.Z.[Jun-Zhou], Metaxas, D.N.,
Explicit occlusion detection based deformable fitting for facial landmark localization,
FG13(1-6)
IEEE DOI 1309
Gaussian processes BibRef

Yu, Y.[Yang], Zhang, S.T.[Shao-Ting], Yang, F.[Fei], Metaxas, D.N.[Dimitris N.],
Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation,
ISVC13(I:486-495).
Springer DOI 1310
BibRef

Yang, F.[Fei], Huang, J.Z.[Jun-Zhou], Metaxas, D.N.[Dimitris N.],
Sparse shape registration for occluded facial feature localization,
FG11(272-277).
IEEE DOI 1103
BibRef

Efraty, B.A., Papadakis, M., Profitt, A., Shah, S., Kakadiaris, I.A.,
Pose invariant facial component-landmark detection,
ICIP11(569-572).
IEEE DOI 1201
BibRef
And:
Facial component-landmark detection,
FG11(278-285).
IEEE DOI 1103
BibRef

Zhou, E.[Erjin], Fan, H.Q.[Hao-Qiang], Cao, Z.M.[Zhi-Min], Jiang, Y.N.[Yu-Ning], Yin, Q.[Qi],
Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade,
FaceWild13(386-391)
IEEE DOI 1403
face recognition BibRef

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

Seshadri, K.[Keshav], Savvides, M.[Marios],
Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces,
BTAS09(1-8).
IEEE DOI 0909
BibRef

Milborrow, S.[Stephen], Bishop, T.E., Nicolls, F.[Fred],
Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge,
FaceWild13(378-385)
IEEE DOI 1403
Fourier transforms BibRef

Milborrow, S.[Stephen], Nicolls, F.[Fred],
Locating Facial Features with an Extended Active Shape Model,
ECCV08(IV: 504-513).
Springer DOI 0810
BibRef

Beumer, G.M., Tao, Q., Bazen, A.M., Veldhuis, R.N.J.,
A Landmark Paper in Face Recognition,
FGR06(73-78).
IEEE DOI 0604
Landmark based alignment depends on the landmarks. Most likely landmark locator ( See also Likelihood-Ratio-Based Biometric Verification. ) and Viola-Jones ( See also Robust Real-Time Face Detection. ) BibRef

Tao, Q.[Qian], Veldhuis, R.N.J.[Raymond N.J.],
Optimal Decision Fusion for a Face Verification System,
ICB07(958-967).
Springer DOI 0708
BibRef

Tao, Q., Veldhuis, R.N.J.,
Verifying a User in a Personal Face Space,
ICARCV06(1-4).
IEEE DOI 0612
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, Local Binary Patters for Face Recognition .


Last update:Nov 12, 2018 at 11:26:54