22.2.2.6.3 Face Alignment, Registration, Recognition

Chapter Contents (Back)
Face Recognition. Application, Face Recognition. Face Alignment. Head Alignment. Alignment. Registration. Mostly aligning 2-D data, not 3-D model with face image.
See also Face Alignment, Registration, 3-D Models.
See also Head Motion, Head Tracking, Tracking Faces in Video.

Yan, S.C.[Shui-Cheng], Liu, C.[Ce], Li, S.Z.[Stan Z.], Zhang, H.J.[Hong-Jiang], Shum, H.Y.[Heung-Yeung], Cheng, Q.S.[Qian-Sheng],
Face alignment using texture-constrained active shape models,
IVC(21), No. 1, January 2003, pp. 69-75.
Elsevier DOI 0301
BibRef

He, R.[Ran], Lei, Z.[Zhen], Yuan, X.T.[Xiao-Tong], Li, S.Z.[Stan Z.],
Regularized active shape model for shape alignment,
FG08(1-6).
IEEE DOI 0809
BibRef

Liang, L.[Lin], Wen, F.[Fang], Xu, Y.Q.[Ying-Qing], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
Accurate Face Alignment using Shape Constrained Markov Network,
CVPR06(I: 1313-1319).
IEEE DOI 0606
BibRef

Liang, L.[Lin], Wen, F.[Fang], Tang, X.[Xiaoou], Xu, Y.Q.[Ying-Qing],
An Integrated Model for Accurate Shape Alignment,
ECCV06(IV: 333-346).
Springer DOI 0608
BibRef

Yan, S.C.[Shui-Cheng], Hou, X.W.[Xin-Wen], Li, S.Z.[Stan Z.], Zhang, H.J.[Hong-Jiang], Cheng, Q.S.[Qian-Sheng],
Face alignment using view-based direct appearance models,
IJIST(13), No. 1, 2003, pp. 106-112.
DOI Link 0308
BibRef

Li, S.Z., Yan, S.C.[Shui-Cheng], Zhang, H.J.[Hong-Jiang], Cheng, Q.S.[Qian-Sheng],
Multi-view face alignment using direct appearance models,
AFGR02(309-314).
IEEE DOI 0206
BibRef

Li, S.Z.[Stan Z.], Zou, X.L.[Xin-Li], Hu, Y.X.[Yu-Xiao], Zhang, Z.Q.[Zheng-Qiu], Yan, S.C.[Shui-Cheng], Peng, X.H.[Xian-Hua], Huang, L.[Lei], Zhang, H.J.[Hong Jiang],
Real-Time Multi-View Face Detection, Pose Estimation, Tracking, Alignment, and Recognition,
CVPR01(Demos). 0110
BibRef

Huang, X.S.[Xiang-Sheng], Li, S.Z.[Stan Z.], Wang, Y.S.[Yang-Sheng],
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment,
BioAW04(45-56).
Springer DOI 0505
BibRef
And:
Learning with Cascade for Classification of Non-Convex Manifolds,
FaceVideo04(66).
IEEE DOI 0502
BibRef
And:
Evaluation of face alignment solutions using statistical learning,
AFGR04(213-218).
IEEE DOI 0411
BibRef

Huang, Y., Lin, S., Lu, H.Q.[Han-Qing], Shum, H.Y.[Heung-Yeung],
Face alignment using intrinsic information,
ICIP04(V: 3307-3310).
IEEE DOI 0505
BibRef

Huang, Y.[Yuchi], Lin, S., Li, S.Z., Lu, H.Q.[Han-Qing], Shum, H.Y.[Heung-Yeung],
Face alignment under variable illumination,
AFGR04(85-90).
IEEE DOI 0411
BibRef

Lucey, S.[Simon], Wang, Y.[Yang], Cox, M.[Mark], Sridharan, S.[Sridha], Cohn, J.F.[Jeffery F.],
Efficient constrained local model fitting for non-rigid face alignment,
IVC(27), No. 12, November 2009, pp. 1804-1813.
Elsevier DOI 0910
Constrained local models; Non-rigid face alignment; Active appearance models BibRef

Cheng, X.[Xin], Sridharan, S.[Sridha], Saragih, J.[Jason], Lucey, S.[Simon],
Rank Minimization across Appearance and Shape for AAM Ensemble Fitting,
ICCV13(577-584)
IEEE DOI 1403
Deformable Object Alignment; Face Alignment; Face Registration BibRef

Cheng, X.[Xin], Sridharan, S.[Sridha], Saraghi, J.[Jason], Lucey, S.[Simon],
Anchored Deformable Face Ensemble Alignment,
NORDIA12(I: 133-142).
Springer DOI 1210
BibRef

Liu, X.M.[Xiao-Ming],
Discriminative Face Alignment,
PAMI(31), No. 11, November 2009, pp. 1941-1954.
IEEE DOI 0910
BibRef
Earlier:
Generic Face Alignment using Boosted Appearance Model,
CVPR07(1-8).
IEEE DOI 0706
Maximize the score of trained 2-class model -- correct alignment vs. incorrect.
See also Improved Face Model Fitting on Video Sequences. BibRef

Liu, X.M.[Xiao-Ming],
Video-Based Face Model Fitting Using Adaptive Active Appearance Model,
IVC(28), No. 7, July 2010, pp. 1162-1172.
Elsevier DOI 1006
Active Appearance Model; Model fitting; Subject-specific model; Generic model
See also Video-Based Face Recognition Using Adaptive Hidden Markov Models. BibRef

Wu, H.[Hao], Liu, X.M.[Xiao-Ming], Doretto, G.[Gianfranco],
Face alignment via boosted ranking model,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Huang, Y.C.[Yu-Chi], Liu, Q.S.[Qing-Shan], Metaxas, D.N.[Dimitris N.],
A Component-Based Framework for Generalized Face Alignment,
SMC-B(41), No. 1, February 2011, pp. 287-298.
IEEE DOI 1102
BibRef
Earlier:
A Component Based Deformable Model for Generalized Face Alignment,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Li, Z.G.[Zhi-Guo], Liu, Q.S.[Qing-Shan], Metaxas, D.N.[Dimitris N.],
Face Mis-alignment Analysis by Multiple-Instance Subspace,
ACCV07(II: 901-910).
Springer DOI 0711
BibRef

Ni, W.Y.[Wei-Yuan], Vu, N.S.[Ngoc-Son], Caplier, A.[Alice],
Lucas-Kanade based entropy congealing for joint face alignment,
IVC(30), No. 12, December 2012, pp. 954-965.
Elsevier DOI 1212
BibRef
Earlier: A1, A3, Only:
Newton optimization based Congealing for facial image alignment,
ICIP11(577-580).
IEEE DOI 1201
Entropy Congealing; Lucas-Kanade method; Face alignment; POEM descriptor BibRef

Ni, W.Y.[Wei-Yuan], Caplier, A.[Alice],
Adaptive appearance face tracking with alignment feedbacks,
ICIP12(1825-1828).
IEEE DOI 1302
BibRef

Martins, P.[Pedro], Caseiro, R.[Rui], Batista, J.P.[Jorge P.],
Generative face alignment through 2.5D active appearance models,
CVIU(117), No. 3, March 2013, pp. 250-268.
Elsevier DOI 1302
BibRef
Earlier: A1, A3, A2:
Face Alignment Through 2.5d Active Appearance Models,
BMVC10(xx-yy).
HTML Version. 1009
2.5D Models; Active appearance models; AAM; 2.5D AAM; Image alignment; Lucas-Kanade; Simultaneous forwards additive; Normalization forwards additive; Robust fitting BibRef

Martins, P.[Pedro], Henriques, J.F., Caseiro, R.[Rui], Batista, J.P.[Jorge P.],
Bayesian Constrained Local Models Revisited,
PAMI(38), No. 4, April 2016, pp. 704-716.
IEEE DOI 1603
BibRef
Earlier: A1, A3, A4, Only:
Non-parametric Bayesian Constrained Local Models,
CVPR14(1797-1804)
IEEE DOI 1409
Bayes methods. ASM; Active Shape Models; CLM; Constrained Local Models; Face alignment BibRef

Martins, P.[Pedro], Henriques, J.F.[João F.], Batista, J.P.[Jorge P.],
Gradient Shape Model,
IJCV(128), No. 12, December 2020, pp. 2828-2848.
Springer DOI 2010
BibRef

Martins, P.[Pedro], Caseiro, R.[Rui], Henriques, J.F.[João F.], Batista, J.P.[Jorge P.],
Let the Shape Speak: Discriminative Face Alignment using Conjugate Priors,
BMVC12(130).
DOI Link 1301
BibRef
And:
Discriminative Bayesian Active Shape Models,
ECCV12(III: 57-70).
Springer DOI 1210
BibRef

Martins, P.[Pedro], Batista, J.P.[Jorge P.],
Towards generic fitting using multiple features Discriminative Active Appearance Models,
ICIP10(4545-4548).
IEEE DOI 1009
BibRef
Earlier:
Single view head pose estimation,
ICIP08(1652-1655).
IEEE DOI 0810
BibRef
And:
Accurate single view model-based head pose estimation,
FG08(1-6).
IEEE DOI 0809
BibRef

Salazar, A.[Augusto], Wuhrer, S.[Stefanie], Shu, C.[Chang], Prieto, F.[Flavio],
Fully automatic expression-invariant face correspondence,
MVA(25), No. 4, May 2014, pp. 859-879.
Springer DOI 1404
BibRef

Yang, H.[Heng], Patras, I.[Ioannis],
Fine-Tuning Regression Forests Votes for Object Alignment in the Wild,
IP(24), No. 2, February 2015, pp. 619-631.
IEEE DOI 1502
BibRef
Earlier:
Sieving Regression Forest Votes for Facial Feature Detection in the Wild,
ICCV13(1936-1943)
IEEE DOI 1403
facial feature detection; regression forests; votes sieving. feature extraction BibRef

Yang, H.[Heng], Zou, C.Q.[Chang-Qing], Patras, I.,
Cascade of forests for face alignment,
IET-CV(9), No. 3, 2015, pp. 321-330.
DOI Link 1507
face recognition BibRef

Zhuang, L.S.[Lian-Sheng], Chan, T.H.[Tsung-Han], Yang, A.Y.[Allen Y.], Sastry, S.S.[S. Shankar], Ma, Y.[Yi],
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment,
IJCV(114), No. 2-3, September 2015, pp. 272-287.
Springer DOI 1509
BibRef

Zhuang, L.S.[Lian-Sheng], Yang, A.Y.[Allen Y.], Zhou, Z.[Zihan], Sastry, S.S.[S. Shankar], Ma, Y.[Yi],
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer,
CVPR13(3546-3553)
IEEE DOI 1309
Single-sample face recognition BibRef

Orozco, J.[Javier], Martinez, B.[Brais], Pantic, M.[Maja],
Empirical analysis of cascade deformable models for multi-view face detection,
IVC(42), No. 1, 2015, pp. 47-61.
Elsevier DOI 1509
Multi-view face detection BibRef

Li, X.[Xuan], Xu, Y.[Yidan], Lv, Q.[Qi], Dou, Y.[Yong],
Affine-Transformation Parameters Regression for Face Alignment,
SPLetters(23), No. 1, January 2016, pp. 55-59.
IEEE DOI 1601
face recognition BibRef

Jin, X.[Xin], Tan, X.Y.[Xiao-Yang],
Face alignment by robust discriminative Hough voting,
PR(60), No. 1, 2016, pp. 318-333.
Elsevier DOI 1609
Face alignment BibRef

Jin, X.[Xin], Tan, X.Y.[Xiao-Yang], Zhou, L.[Liang],
Face alignment using local hough voting,
FG13(1-8)
IEEE DOI 1309
face recognition BibRef

Jin, X.[Xin], Tan, X.Y.[Xiao-Yang],
Face alignment in-the-wild: A Survey,
CVIU(162), No. 1, 2017, pp. 1-22.
Elsevier DOI 1710
Survey, Face Alignment. Face, alignment BibRef

Seshadri, K.[Keshav], Savvides, M.[Marios],
Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment,
PAMI(38), No. 10, October 2016, pp. 2110-2122.
IEEE DOI 1609
Active appearance model BibRef

Zhang, K., Zhang, Z., Li, Z., Qiao, Y.,
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks,
SPLetters(23), No. 10, October 2016, pp. 1499-1503.
IEEE DOI 1610
data mining BibRef

Kowalski, M., Naruniec, J.,
Face Alignment Using K-Cluster Regression Forests With Weighted Splitting,
SPLetters(23), No. 11, November 2016, pp. 1567-1571.
IEEE DOI 1609
computer vision BibRef

Liu, H.[Hao], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Learning Deep Sharable and Structural Detectors for Face Alignment,
IP(26), No. 4, April 2017, pp. 1666-1678.
IEEE DOI 1704
face recognition BibRef

Liu, H.[Hao], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Two-Stream Transformer Networks for Video-Based Face Alignment,
PAMI(40), No. 11, November 2018, pp. 2546-2554.
IEEE DOI 1810
Face, Shape, Streaming media, Videos, Transforms, Machine learning, Indexes, Face alignment, convolutional neural networks, biometrics BibRef

Wang, W.[Wei], Tulyakov, S.[Sergey], Sebe, N.[Nicu],
Recurrent Convolutional Shape Regression,
PAMI(40), No. 11, November 2018, pp. 2569-2582.
IEEE DOI 1810
BibRef
Earlier:
Recurrent Convolutional Face Alignment,
ACCV16(II: 104-120).
Springer DOI 1704
Shape, Face, Feature extraction, Customer relationship management, Task analysis, Recurrent neural networks, Training, facial landmarks BibRef

Zhu, H.Y.[Hong-Yu], Liu, H.[Hao], Zhu, C.C.[Cong-Cong], Deng, Z.Y.[Zong-Yong], Sun, X.H.[Xue-Hong],
Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos,
PR(107), 2020, pp. 107354.
Elsevier DOI 2008
Face alignment, Face tracking, Spatial transformer, Relational reasoning, Video analysis, Biometrics BibRef

Chen, L.[Lei], Song, Z.J.[Zhan-Jie], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Learning principal orientations and residual descriptor for action recognition,
PR(86), 2019, pp. 14-26.
Elsevier DOI 1811
Action recognition, Unsupervised learning, Trajectories, Principal orientation, Residual value BibRef

Su, Y.[Ya], Gao, X.B.[Xin-Bo], Yin, X.C.[Xu-Cheng],
Fast alignment for sparse representation based face recognition,
PR(68), No. 1, 2017, pp. 211-221.
Elsevier DOI 1704
Fast alignment BibRef

Su, Y.[Ya], Liu, Z.[Zhe], Wang, M.Y.[Meng-Yao],
Sparse representation-based face recognition against expression and illumination,
IET-IPR(12), No. 5, May 2018, pp. 826-832.
DOI Link 1804
BibRef

Yang, W.M.[Wen-Ming], Sun, X.[Xiang], Liao, Q.G.[Qin-Gmin],
Cascaded Elastically Progressive Model for Accurate Face Alignment,
SMCS(47), No. 9, September 2017, pp. 2613-2621.
IEEE DOI 1708
Analytical models, Estimation, Face, Kalman filters, Mathematical model, Principal component analysis, Shape, Cascaded elastically progressive model (CEPM), Kalman filter (KF), face alignment, inherent linear structure, (ILS) BibRef

Sun, J.N.[Jing-Na], Yang, W.M.[Wen-Ming], Gao, R.Q.[Ri-Qiang], Xue, J.H.[Jing-Hao], Liao, Q.M.[Qing-Min],
Inter-class angular margin loss for face recognition,
SP:IC(80), 2020, pp. 115636.
Elsevier DOI 1912
Face recognition, IAM loss, Inter-class variance, Intra-class distance, Softmax loss BibRef

Sun, J.N.[Jing-Na], Yang, W.M.[Wen-Ming], Xue, J.H.[Jing-Hao], Liao, Q.M.[Qing-Min],
An Equalized Margin Loss for Face Recognition,
MultMed(22), No. 11, November 2020, pp. 2833-2843.
IEEE DOI 2010
Face recognition, Face, Data mining, Measurement, Training, Sun, Image recognition, Face recognition, equalized margin (EqM) loss, deep learning BibRef

Hou, Q.Q.[Qi-Qi], Wang, J.J.[Jin-Jun], Bai, R.B.[Rui-Bin], Zhou, S.P.[San-Ping], Gong, Y.H.[Yi-Hong],
Face alignment recurrent network,
PR(74), No. 1, 2018, pp. 448-458.
Elsevier DOI 1711
Face alignment BibRef

Dapogny, A.[Arnaud], Bailly, K.[Kévin],
Face alignment with cascaded semi-parametric deep greedy neural forests,
PRL(102), 2018, pp. 75-81.
Elsevier DOI 1802
Face alignment, Cascaded regression, Neural Forests, Neural networks, Random Forests, Real-time, Large poses, In the wild BibRef

Peng, X.[Xi], Zhang, S.T.[Shao-Ting], Yu, Y.[Yang], Metaxas, D.N.[Dimitris N.],
Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild,
IJCV(126), No. 2-4, April 2018, pp. 184-197.
Springer DOI 1804
BibRef
Earlier:
PIEFA: Personalized Incremental and Ensemble Face Alignment,
ICCV15(3880-3888)
IEEE DOI 1602
Adaptation models BibRef

Peng, X.[Xi], Feris, R.S.[Rogerio S.], Wang, X.Y.[Xiao-Yu], Metaxas, D.N.[Dimitris N.],
RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment,
IJCV(126), No. 10, October 2018, pp. 1103-1119.
Springer DOI 1809
BibRef
Earlier:
A Recurrent Encoder-Decoder Network for Sequential Face Alignment,
ECCV16(I: 38-56).
Springer DOI 1611
BibRef

Peng, X.[Xi], Huang, J.Z.[Jun-Zhou], Metaxas, D.N.[Dimitris N.],
Sequential Face Alignment via Person-Specific Modeling in the Wild,
Affect16(1558-1567)
IEEE DOI 1612
BibRef

Wang, L.[Lezi], Yu, X.[Xiang], Bourlai, T.[Thirimachos], Metaxas, D.N.[Dimitris N.],
A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization,
IVC(87), 2019, pp. 37-46.
Elsevier DOI 1906
BibRef
Earlier: A1, A2, A4, Only: FG17(251-257)
IEEE DOI 1707
Face detection, Landmark localization, Convolutional neural network, Deep learning. Decoding, Face, Feature extraction, Neural networks, Proposals, Training
See also Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. BibRef

Zhang, J.F.[Jun-Feng], Hu, H.F.[Hai-Feng],
Exemplar-based Cascaded Stacked Auto-Encoder Networks for robust face alignment,
CVIU(171), 2018, pp. 95-103.
Elsevier DOI 1812
Auto-Encoder, Deep learning, Exemplar-based, Cascaded architecture, Face alignment BibRef

Mo, H., Liu, L., Zhu, W., Yin, S., Wei, S.,
Face Alignment With Expression- and Pose-Based Adaptive Initialization,
MultMed(21), No. 4, April 2019, pp. 943-956.
IEEE DOI 1903
Shape, Face, Face recognition, Reliability, Pose estimation, Training, Adaptive initial shape, expression recognition, facial alignment, pose estimation BibRef

Deng, J., Trigeorgis, G., Zhou, Y., Zafeiriou, S.P.,
Joint Multi-View Face Alignment in the Wild,
IP(28), No. 7, July 2019, pp. 3636-3648.
IEEE DOI 1906
Face, Face detection, Solid modeling, Detectors, Deformable models, Shape, cascade face detection BibRef

Deng, J., Guo, J., Zafeiriou, S.P.,
Single-Stage Joint Face Detection and Alignment,
WIDER19(1836-1839)
IEEE DOI 2004
face recognition, feature extraction, learning (artificial intelligence), pose estimation, single stage BibRef

Liu, L., Wang, Q., Zhu, W., Mo, H., Wang, T., Yin, S., Shi, Y., Wei, S.,
A Face Alignment Accelerator Based on Optimized Coarse-to-Fine Shape Searching,
CirSysVideo(29), No. 8, August 2019, pp. 2467-2481.
IEEE DOI 1908
Shape, Face, Hardware, Feature extraction, Robustness, Computational modeling, Search problems, Cascaded regression, landmark detection BibRef

Han, S.D.[Shou-Dong], Yang, Z.Q.[Zi-Qing], Li, Q.Q.[Qian-Qian], Chen, Y.[Yang],
Deformed landmark fitting for sequential faces,
JVCIR(62), 2019, pp. 381-393.
Elsevier DOI 1908
Landmark fitting, Active shape model, Large displacement optical flow model, Global shape model BibRef

Hao, Y.Y.[Yang-Yang], Zhu, H.L.[Heng-Liang], Shao, Z.W.[Zhi-Wen], Ma, L.Z.[Li-Zhuang],
Feedback cascade regression model for face alignment,
IET-CV(13), No. 7, Octomber 2019, pp. 632-639.
DOI Link 1911
BibRef

Lin, X.X.[Xu-Xin], Liang, Y.Y.[Yan-Yan], Wan, J.[Jun], Lin, C.[Chi], Li, S.Z.[Stan Z.],
Region-Based Context Enhanced Network for Robust Multiple Face Alignment,
MultMed(21), No. 12, December 2019, pp. 3053-3067.
IEEE DOI 1912
Face, Face detection, Task analysis, Feature extraction, Heating systems, Shape, Detectors, Facial landmark localization, point distribution model BibRef

Wan, J.[Jun], Lai, Z.H.[Zhi-Hui], Liu, J.[Jun], Zhou, J.[Jie], Gao, C.[Can],
Robust Face Alignment by Multi-Order High-Precision Hourglass Network,
IP(30), 2021, pp. 121-133.
IEEE DOI 2011
Heating systems, Faces, Face recognition, Shape, Task analysis, Predictive models, Robustness, Heatmap regression, face alignment, large poses BibRef

Mohammadzade, H.[Hoda], Sayyafan, A.[Amirhossein], Ghojogh, B.[Benyamin],
Pixel-level alignment of facial images for high accuracy recognition using ensemble of patches,
JOSA-A(35), No. 7, July 2018, pp. 1149-1159.
DOI Link 1912
Image processing, Digital image processing, Pattern recognition, Eyes, Face recognition, Image processing, BibRef

Liu, H.[Hao], Lu, J.W.[Ji-Wen], Guo, M.H.[Ming-Hao], Wu, S.P.[Su-Ping], Zhou, J.[Jie],
Learning Reasoning-Decision Networks for Robust Face Alignment,
PAMI(42), No. 3, March 2020, pp. 679-693.
IEEE DOI 2002
Shape, Face, Training, Neural networks, Computer architecture, Face alignment, deep neural networks, policy gradient BibRef

Dai, H.[Hang], Pears, N.E.[Nick E.], Smith, W.A.P.[William A.P.], Duncan, C.[Christian],
Statistical Modeling of Craniofacial Shape and Texture,
IJCV(128), No. 2, February 2020, pp. 547-571.
Springer DOI 2002
BibRef

Zhang, C.[Chao], Smith, W.A.P.[William A.P.], Dessein, A.[Arnaud], Pears, N.E.[Nick E.], Dai, H.[Hang],
Functional Faces: Groupwise Dense Correspondence Using Functional Maps,
CVPR16(5033-5041)
IEEE DOI 1612
BibRef

Park, H.[Hyunsung], Kim, D.J.[Dai-Jin],
A complementary regression network for accurate face alignment,
IVC(95), 2020, pp. 103883.
Elsevier DOI 2004
Facial landmark detection, Complementary regression network, Coordinate-to-heatmap transform, Heatmap-to-coordinate transform BibRef

Zhao, Y.[Yang], Liu, Y.F.[Yi-Fan], Shen, C.H.[Chun-Hua], Gao, Y.S.[Yong-Sheng], Xiong, S.[Shengwu],
MobileFAN: Transferring deep hidden representation for face alignment,
PR(100), 2020, pp. 107114.
Elsevier DOI 2005
Face alignment, Knowledge distillation, Lightweight model BibRef

Zhen, X.T.[Xian-Tong], Yu, M.Y.[Meng-Yang], Xiao, Z.[Zehao], Zhang, L.[Lei], Shao, L.[Ling],
Heterogenous output regression network for direct face alignment,
PR(105), 2020, pp. 107311.
Elsevier DOI 2006
Direct face alignment, Multi-output regression network, Random Fourier features BibRef

Miao, X.[Xin], Zhen, X.T.[Xian-Tong], Liu, X.L.[Xiang-Long], Deng, C.[Cheng], Athitsos, V.[Vassilis], Huang, H.[Heng],
Direct Shape Regression Networks for End-to-End Face Alignment,
CVPR18(5040-5049)
IEEE DOI 1812
Shape, Face, Feature extraction, Correlation, Task analysis, Kernel, Computer architecture BibRef

Zhang, F.F.[Fei-Fei], Zhang, T.Z.[Tian-Zhu], Mao, Q.R.[Qi-Rong], Xu, C.S.[Chang-Sheng],
A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment,
IP(29), 2020, pp. 6574-6589.
IEEE DOI 2007
Face, Task analysis, Face recognition, Geometry, Feature extraction, Training, Generators, Facial expression recognition, facial landmarks BibRef

Ge, Y.X.[Yong-Xin], Zhang, J.Y.[Jun-Yin], Peng, C.[Chen], Chen, M.[Min], Xie, J.H.[Jia-Hong], Yang, D.[Dan],
Deep shape constrained network for robust face alignment,
PRL(138), 2020, pp. 587-593.
Elsevier DOI 2010
Face alignment, Facial landmarks, Deep learning BibRef

Mo, H., Liu, L., Zhu, W., Li, Q., Liu, H., Yin, S., Wei, S.,
A Multi-Task Hardwired Accelerator for Face Detection and Alignment,
CirSysVideo(30), No. 11, November 2020, pp. 4284-4298.
IEEE DOI 2011
Face, Face detection, Task analysis, Hardware, Computer architecture, Correlation, Pipelines, Cascaded convolutional network, co-design, face alignment BibRef

Si, J.X.[Jia-Xin], Jiang, F.[Fei], Shen, R.[Ruimin], Lu, H.T.[Hong-Tao],
Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture,
CVIU(203), 2021, pp. 103125.
Elsevier DOI 2101
Face alignment, Knowledge distillation, Knowledge transfer BibRef

Park, H.[Hyunsung], Kim, D.J.[Dai-Jin],
ACN: Occlusion-tolerant face alignment by attentional combination of heterogeneous regression networks,
PR(114), 2021, pp. 107761.
Elsevier DOI 2103
Face alignment, Facial landmark localization, Attentional combination network, Converting networks BibRef

Mo, H., Liu, L., Zhu, W., Li, Q., Yin, S., Wei, S.,
A 460 GOPS/W Improved Mnemonic Descent Method-Based Hardwired Accelerator for Face Alignment,
MultMed(23), 2021, pp. 1122-1135.
IEEE DOI 2103
Face, Hardware, Feature extraction, Real-time systems, Shape, Optimization, Pipelines, Accelerator, convolutional network, recurrent network BibRef

Tong, Z.Y.[Zi-Ye], Zhou, J.W.[Jun-Wei],
Face alignment using two-stage cascaded pose regression and mirror error correction,
PR(115), 2021, pp. 107866.
Elsevier DOI 2104
Occlusion, Cascaded pose regression, Mirror error, Facial landmark localization, Face alignment BibRef

Aspandi, D.[Decky], Martinez, O.[Oriol], Sukno, F.[Federico], Binefa, X.[Xavier],
Composite recurrent network with internal denoising for facial alignment in still and video images in the wild,
IVC(111), 2021, pp. 104189.
Elsevier DOI 2106
BibRef
Earlier:
Robust Facial Alignment with Internal Denoising Auto-Encoder,
CRV19(143-150)
IEEE DOI 1908
Facial alignment, Facial tracking, Temporal modeling, Internal denoising. Noise reduction, Feature extraction, Robustness, Training, Computational modeling, Data models, Analytical models, Noise Normalization BibRef

Lin, C.Z.[Chun-Ze], Zhu, B.[Beier], Wang, Q.[Quan], Liao, R.J.[Ren-Jie], Qian, C.[Chen], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Structure-Coherent Deep Feature Learning for Robust Face Alignment,
IP(30), 2021, pp. 5313-5326.
IEEE DOI 2106
Faces, Face recognition, Heating systems, Convolution, Computational modeling, Deep learning, Training, Face alignment, deep learning BibRef

Wang, X.[Xing], Li, X.Y.[Xin-Yu], Wu, S.P.[Su-Ping],
Graph Structure Reasoning Network for Face Alignment and Reconstruction,
MMMod21(I:493-505).
Springer DOI 2106
BibRef

Ma, J.Y.[Jin-Yan], Li, J.[Jing], Du, B.[Bo], Wu, J.[Jia], Wan, J.[Jun], Xiao, Y.[Yafu],
Robust face alignment by dual-attentional spatial-aware capsule networks,
PR(122), 2022, pp. 108297.
Elsevier DOI 2112
Face alignment, Hourglass capsule network, Adaptively local constrained dynamic routing, Spatial attention BibRef

Lan, X.[Xing], Hu, Q.[Qinghao], Cheng, J.[Jian],
Revisting Quantization Error in Face Alignment,
MFR21(1521-1530)
IEEE DOI 2112
Heating systems, Quantization (signal), Pose estimation, Object detection, Computer architecture BibRef

Shao, X.H.[Xiao-Hu], Xing, J.L.[Jun-Liang], Lyu, J.J.[Jiang-Jing], Zhou, X.D.[Xiang-Dong], Shi, Y.[Yu], Maybank, S.J.[Steve J.],
Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-Driven Learning,
PAMI(44), No. 9, September 2022, pp. 5488-5502.
IEEE DOI 2208
Faces, Annotations, Face recognition, Training, Shape, Face detection, Computer architecture, Face alignment, regression model, adaptive learning BibRef

Lan, X.[Xing], Hu, Q.[Qinghao], Cheng, J.[Jian],
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment,
MultMed(25), 2023, pp. 1798-1809.
IEEE DOI 2306
Detectors, Heating systems, Benchmark testing, Faces, Training, Task analysis, Face recognition, Face alignment, weakly supervised BibRef

Xia, J.H.[Jia-Hao], Xu, M.[Min], Zhang, H.[Haimin], Zhang, J.G.[Jian-Guo], Huang, W.J.[Wen-Jian], Cao, H.[Hu], Wen, S.P.[Shi-Ping],
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation,
PAMI(45), No. 8, August 2023, pp. 10358-10375.
IEEE DOI 2307
Heating systems, Faces, Uncertainty, Transformers, Probability distribution, Face recognition, Training, uncertainty estimation BibRef

Han, L.M.[Li-Ming], Yang, C.[Chi], Li, Q.[Qing], Yao, B.[Bin], Jiao, Z.X.[Zi-Xian], Xie, Q.Y.[Qian-Yang],
Dynamic deformable transformer for end-to-end face alignment,
IET-CV(17), No. 8, 2023, pp. 948-961.
DOI Link 2312
computer vision, feature extraction, pattern recognition BibRef


Li, H.[Heyuan], Wang, B.[Bo], Cheng, Y.[Yu], Kankanhalli, M.[Mohan], Tan, R.T.[Robby T.],
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment,
CVPR23(4531-4540)
IEEE DOI 2309
BibRef

Jousse, F.[Florent], Pennec, X.[Xavier], Delingette, H.[Hervé], Gonzalez, M.[Matilde],
Geodesic squared exponential kernel for non-rigid shape registration,
FG21(01-08)
IEEE DOI 2303
Solid modeling, Adaptation models, Shape, Face recognition, Kernel, Task analysis BibRef

Fard, A.P.[Ali Pourramezan], Mahoor, M.H.[Mohammah H.],
ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment,
ICPR22(1807-1814)
IEEE DOI 2212
Heating systems, Deep learning, Head, Face recognition, Neural networks, Memory management, Active shape model BibRef

Martyniuk, T.[Tetiana], Kupyn, O.[Orest], Kurlyak, Y.[Yana], Krashenyi, I.[Igor], Matas, J.G.[Jiri G.], Sharmanska, V.[Viktoriia],
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image,
CVPR22(20910-20920)
IEEE DOI 2210
Training, Solid modeling, Head, Shape, Pose estimation, Predictive models, Datasets and evaluation, Face and gestures BibRef

Xia, J.H.[Jia-Hao], Qu, W.W.[Wei-Wei], Huang, W.J.[Wen-Jian], Zhang, J.G.[Jian-Guo], Wang, X.[Xi], Xu, M.[Min],
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning,
CVPR22(4042-4051)
IEEE DOI 2210
Heating systems, Codes, Face recognition, Aggregates, Benchmark testing, Transformers, Face and gestures, Deep learning architectures and techniques BibRef

Zhu, C.C.[Cong-Cong], Wan, X.T.[Xin-Tong], Xie, S.[Shaorong], Li, X.Q.[Xiao-Qiang], Gu, Y.[Yinzheng],
Occlusion-robust Face Alignment using A Viewpoint-invariant Hierarchical Network Architecture,
CVPR22(11102-11111)
IEEE DOI 2210
Location awareness, Degradation, Face recognition, Neural networks, Stacking, Estimation, Network architecture, Face and gestures, Pose estimation and tracking BibRef

Kopaczka, M.[Marcin], Schock, J.[Justus], Kruse, P.[Paul], Merhof, D.[Dorit],
Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks,
IPTA20(1-6)
IEEE DOI 2206
Deep learning, Runtime, Shape, Fitting, Tools, Hardware, Faces BibRef

Dornier, M.[Martin], Gosselin, P.H.[Philippe-Henri], Raymond, C.[Christian], Ricquebourg, Y.[Yann], Coüasnon, B.[Bertrand],
SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data,
CIAP22(I:425-437).
Springer DOI 2205
BibRef

Liu, J.H.[Jia-Heng], Wu, Y.D.[Yu-Dong], Wu, Y.C.[Yi-Chao], Li, C.M.[Chu-Ming], Hu, X.L.[Xiao-Lin], Liang, D.[Ding], Wang, M.Y.[Meng-Yu],
DAM: Discrepancy Alignment Metric for Face Recognition,
ICCV21(3794-3803)
IEEE DOI 2203
Measurement, Training, Deep learning, Dams, Face recognition, Estimation, Faces, Recognition and classification BibRef

Huang, Y.Y.[Yang-Yu], Yang, H.[Hao], Li, C.[Chong], Kim, J.[Jongyoo], Wei, F.Y.[Fang-Yun],
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment,
ICCV21(3060-3070)
IEEE DOI 2203
Measurement, Heating systems, Training, Pipelines, Force, Robustness, Labeling, Faces, Detection and localization in 2D and 3D BibRef

Fard, A.P.[Ali Pourramezan], Abdollahi, H.[Hojjat], Mahoor, M.[Mohammad],
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation,
AMFG21(1521-1530)
IEEE DOI 2109
Training, Machine learning algorithms, Shape, Face recognition, Pose estimation, Transfer learning, Magnetic heads BibRef

Sun, B., Li, J., Fu, Y.,
Block Mobilenet: Align Large-Pose Faces with <1MB Model Size,
FG20(184-191)
IEEE DOI 2102
Convolution, Faces, Kernel, Face recognition, Computational modeling, Stacking BibRef

Dapogny, A., Bailly, K., Cord, M.,
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion,
FG20(192-198)
IEEE DOI 2102
Head, Task analysis, Face recognition, Location awareness, Pose estimation, deep learning BibRef

Koizumi, T.[Tatsuro], Smith, W.A.P.[William A. P.],
Shape from semantic segmentation via the geometric Rényi divergence,
WACV21(2311-2320)
IEEE DOI 2106
Training, Image segmentation, Solid modeling, Shape, Computational modeling BibRef

Koizumi, T.[Tatsuro], Smith, W.A.P.[William A. P.],
'Look Ma, No Landmarks!': Unsupervised, Model-based Dense Face Alignment,
ECCV20(II:690-706).
Springer DOI 2011
BibRef

Annunziata, R., Sagonas, C., Cali, J.,
Jointly Aligning Millions of Images With Deep Penalised Reconstruction Congealing,
ICCV19(81-90)
IEEE DOI 2004
computer graphics, extrapolation, face recognition, image fusion, image motion analysis, Task analysis BibRef

Kumar, A., Marks, T.K., Mou, W., Wang, Y., Jones, M., Cherian, A., Koike-Akino, T., Liu, X., Feng, C.,
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood,
CVPR20(8233-8243)
IEEE DOI 2008
BibRef
Earlier: A1, A2, A3, A9, A8, Only:
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss,
SDL-CV19(778-782)
IEEE DOI 2004
Uncertainty, Heating systems, Face, Estimation, Covariance matrices, Laplace equations, Labeling. face recognition, Gaussian distribution, landmark location prediction, UGLLI face alignment methods, Gaussian Log Likelihood Loss BibRef

Dapogny, A., Cord, M., Bailly, K.,
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild,
ICCV19(6892-6900)
IEEE DOI 2004
convolutional neural nets, face recognition, feature extraction, image fusion, image resolution, Computer architecture BibRef

Wang, X., Bo, L., Fuxin, L.,
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression,
ICCV19(6970-6980)
IEEE DOI 2004
face recognition, learning (artificial intelligence), regression analysis, ground truth heatmap pixels, Robustness BibRef

Chen, L., Su, H., Ji, Q.,
Face Alignment With Kernel Density Deep Neural Network,
ICCV19(6991-7001)
IEEE DOI 2004
face recognition, Gaussian distribution, image resolution, learning (artificial intelligence), Gaussian distribution BibRef

Wu, Y., Cheng, Z., Huang, B., Chen, Y., Zhu, X., Wang, W.,
Foxnet: A Multi-Face Alignment Method,
ICIP19(1322-1326)
IEEE DOI 1910
Face Alignment, Deep Learning, Cluster. BibRef

Zhang, J., Zhu, C., Wu, S., Yu, Z., Sun, X., Liu, H.,
Learning Deformable Hourglass Networks (DHGN) for Unconstrained Face Alignment,
ICIP19(1960-1964)
IEEE DOI 1910
Face alignment, deep learning, hourglass network, spatial transformer, biometrics BibRef

Chen, W., Zhou, Q., Hu, H.,
Face Alignment by Discriminative Feature Learning,
ICIP19(2204-2208)
IEEE DOI 1910
Face Alignment, Fully Convolutional Network, Discriminative Feature Learning BibRef

Saxen, F., Handrich, S., Werner, P., Othman, E., Al-Hamadi, A.,
Detecting Arbitrarily Rotated Faces for Face Analysis,
ICIP19(3945-3949)
IEEE DOI 1910
Face detection, face analysis, rotation invariance, face alignment, facial landmark detection BibRef

Zhu, C., Wu, S., Yu, Z., Wang, X., Liu, H.,
Multi-Agent Deep Collaboration Learning for Face Alignment Under Different Perspectives,
ICIP19(1785-1789)
IEEE DOI 1910
Face alignment, reinforcement learning, deep neural network, multi-task learning, biometrics BibRef

Li, P., Zhang, A., Yue, L., Zhen, X., Cao, X.,
Multi-Scale Aggregation Network for Direct Face Alignment,
WACV19(2156-2165)
IEEE DOI 1904
convolutional neural nets, face recognition, feature extraction, image representation, Spatial resolution BibRef

Belmonte, R., Ihaddadene, N., Tirilly, P., Bilasco, I.M., Djeraba, C.,
Video-Based Face Alignment With Local Motion Modeling,
WACV19(2106-2115)
IEEE DOI 1904
face recognition, image motion analysis, learning (artificial intelligence), recurrent neural nets, Computational modeling BibRef

Deng, J.K.[Jian-Kang], Cheng, S.Y.[Shi-Yang], Xue, N.N.[Nian-Nan], Zhou, Y.X.[Yu-Xiang], Zafeiriou, S.P.[Stefanos P.],
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition,
CVPR18(7093-7102)
IEEE DOI 1812
Face, Face recognition, Shape, Training, Generators BibRef

Kumar, A., Chellappa, R.,
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment,
CVPR18(430-439)
IEEE DOI 1812
Face, Task analysis, Deformable models, Solid modeling, Shape BibRef

Cai, Z., Liu, Q., Wang, S., Yang, B.,
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment,
ICPR18(495-500)
IEEE DOI 1812
Face, Pose estimation, Face detection, Task analysis, Benchmark testing, Real-time systems BibRef

Li, J., Xiao, Q., Yang, R.,
A New Method for Face Alignment under Extreme Poses and Occlusion,
ICPR18(1586-1591)
IEEE DOI 1812
Face, Mouth, Shape, Task analysis,Face detection, Windows, face alignment, extreme poses, occlusion, convolutional neural networks BibRef

Zhou, E.[Erjin], Cao, Z.M.[Zhi-Min], Sun, J.[Jian],
GridFace: Face Rectification via Learning Local Homography Transformations,
ECCV18(XVI: 3-20).
Springer DOI 1810
BibRef

Hsu, G., Ho, K.,
Edge-Coupled and Multi-Dropout Face Alignment,
ICIP18(2645-2649)
IEEE DOI 1809
Image edge detection, Face, Convolution, Training, Detectors, Databases, Feature extraction BibRef

Chen, W., Zhou, Q., Hu, R.,
Face Alignment by Combining Residual Features in Cascaded Hourglass Network,
ICIP18(196-200)
IEEE DOI 1809
Databases, Face, Training, Entropy, Testing, Kernel, Shape, Face Alignment, Fully Convolutional Network, Residual Features BibRef

Huang, Z., Zhou, W., Li, H.,
Cascaded Deep Convolutional Neural Network for Robust Face Alignment,
ICIP18(1218-1222)
IEEE DOI 1809
Face, Shape, Training, Neural networks, Feeds, Heating systems, Machine learning, Face alignment, Deep learning, Attention BibRef

Zhang, Q.A.[Qi-Ang], Bhalerao, A.[Abhir],
Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Peng, C., Ge, Y., Hong, M., Huang, S., Yang, D.,
Robust face alignment with cascaded coarse-to-fine auto-encoder network,
ICIP17(1477-1481)
IEEE DOI 1803
Robustness, Autoencoder Network, Coarse-to-Fine, Deep Learning, Face Alignment BibRef

Chang, F.J., Tran, A.T.[Anh Tuan], Hassner, T.[Tal], Masi, I.[Iacopo], Nevatia, R., Medioni, G.[Gérard],
FacePoseNet: Making a Case for Landmark-Free Face Alignment,
AMFG17(1599-1608)
IEEE DOI 1802
Benchmark testing, Detectors, Face, Face recognition, Shape, BibRef

Yu, R., Saito, S., Li, H., Ceylan, D., Li, H.,
Learning Dense Facial Correspondences in Unconstrained Images,
ICCV17(4733-4742)
IEEE DOI 1802
face recognition, image texture, learning (artificial intelligence), neural nets, BibRef

Güler, R.A., Trigeorgis, G., Antonakos, E.[Epameinondas], Snape, P., Zafeiriou, S.P.[Stefanos P.], Kokkinos, I.,
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild,
CVPR17(2614-2623)
IEEE DOI 1711
Deformable models, Face, Semantics, Shape, Strain, BibRef

Qi, H., Zhao, Q., Wang, X., Pei, M.,
Pose-indexed based multi-view method for face alignment,
ICIP16(1294-1298)
IEEE DOI 1610
Dictionaries BibRef

Antonakos, E.[Epameinondas], Zafeiriou, S.P.[Stefanos P.],
Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,
CVPR16(4177-4187)
IEEE DOI 1612
BibRef

Hayat, M., Khan, S.H., Werghi, N., Goecke, R.,
Joint Registration and Representation Learning for Unconstrained Face Identification,
CVPR17(1551-1560)
IEEE DOI 1711
Benchmark testing, Face, Face recognition, Image coding, Media, YouTube BibRef

Wu, W.Y.[Wen-Yan], Yang, S.[Shuo],
Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment,
FaceWild17(2096-2105)
IEEE DOI 1709
Active appearance model, Benchmark testing, Face, Feature extraction, Robustness, Shape BibRef

Kowalski, M., Naruniec, J., Trzcinski, T.,
Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment,
FaceWild17(2034-2043)
IEEE DOI 1709
Estimation, Face, Feature extraction, Heating systems, Neural networks, Shape, Transforms BibRef

Zhang, G.[Gang], Niu, L.Q.[Lian-Qiang], Zhang, Y.C.[Yu-Chen], Ke, Y.D.[Yu-Ding],
Number of faces affect performance of rigid joint alignment,
ICIVC17(249-253)
IEEE DOI 1708
Computational modeling, Jacobian matrices, Mathematical model, Shape, Software, face alignment, face recognition, joint alignment BibRef

Yang, S.Q.[Si-Qi], Wiliem, A., Lovell, B.C.,
The GIST of aligning faces,
ICPR16(3007-3012)
IEEE DOI 1705
Data mining, Feature extraction, Head, Learning systems, Reliability, Shape, Training BibRef

Xu, Z.Q.[Zhen-Qi], Deng, W.H.[Wei-Hong], Hu, J.[Jiani],
Learning Facial Point Response for Alignment by Purely Convolutional Network,
ACCV16(III: 248-263).
Springer DOI 1704
BibRef

Zhang, Y.Q.[Yong-Qiang], Liu, S.[Shuang], Yang, X.S.[Xiao-Song], Shi, D.M.[Da-Ming], Zhang, J.J.[Jian Jun],
Sign-Correlation Partition Based on Global Supervised Descent Method for Face Alignment,
ACCV16(III: 281-295).
Springer DOI 1704
BibRef

Wang, Z.W.[Zhi-Wei], Yang, X.[Xin],
Joint Face Detection and Initialization for Face Alignment,
MMMod17(I: 164-175).
Springer DOI 1701
BibRef

Tuzel, O.[Oncel], Marks, T.K.[Tim K.], Tambe, S.[Salil],
Robust Face Alignment Using a Mixture of Invariant Experts,
ECCV16(V: 825-841).
Springer DOI 1611
BibRef

Grewe, C.M.[Carl Martin], Zachow, S.[Stefan],
Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces,
3DFAW16(II: 552-568).
Springer DOI 1611
BibRef

McDonagh, J.[John], Tzimiropoulos, G.[Georgios],
Joint Face Detection and Alignment with a Deformable Hough Transform Model,
3DFAW16(II: 569-580).
Springer DOI 1611
BibRef

Martins, P.[Pedro], Faro, J.[João], Brandão, P.[Patrick], Batista, J.P.[Jorge P.],
Bayesian constrained local models with depth data,
ICIP16(1654-1658)
IEEE DOI 1610
Active appearance model aligning faces using depth information. BibRef

Ruiz, G., Ramon, E., García, J., Ballester, M.A.G., Sukno, F.M.,
Weighted regularized ASM for face alignment,
ICIP16(2906-2910)
IEEE DOI 1610
Computational modeling BibRef

Yang, H.[Heng], Mou, W.X.[Wen-Xuan], Zhang, Y.[Yichi], Patras, I.[Ioannis], Gunes, H.[Hatice], Robinson, P.[Peter],
Face Alignment Assisted by Head Pose Estimation,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Yim, J.H.[Jun-Ho], Jung, H.[Hee_Chul], Yoo, B.[Byung_In], Choi, C.K.[Chang-Kyu], Park, D.[Dusik], Kim, J.[Junmo],
Rotating your face using multi-task deep neural network,
CVPR15(676-684)
IEEE DOI 1510
BibRef

Lee, D.[Donghoon], Park, H.[Hyunsin], Yoo, C.D.[Chang D.],
Face alignment using cascade Gaussian process regression trees,
CVPR15(4204-4212)
IEEE DOI 1510
BibRef

Zhu, S.Z.[Shi-Zhan], Li, C.[Cheng], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Face alignment by coarse-to-fine shape searching,
CVPR15(4998-5006)
IEEE DOI 1510
BibRef

Zeng, A.[Andy], Boddeti, V.N.[Vishnu Naresh], Kitani, K.M.[Kris M.], Kanade, T.[Takeo],
Face Alignment Refinement,
WACV15(162-169)
IEEE DOI 1503
Accuracy BibRef

Yan, J.J.[Jun-Jie], Lei, Z.[Zhen], Yi, D.[Dong], Li, S.Z.,
Learn to Combine Multiple Hypotheses for Accurate Face Alignment,
FaceWild13(392-396)
IEEE DOI 1403
face recognition
See also Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern Like Representation. BibRef

Dahm, N.[Nicholas], Gao, Y.S.[Yong-Sheng], Caelli, T.[Terry], Bunke, H.[Horst],
Matching non-aligned objects using a relational string-graph,
ICIP13(3394-3398)
IEEE DOI 1402
face recognition; graph matching; image alignment BibRef

Nikitidis, S.[Symeon], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
Merging SVMs with Linear Discriminant Analysis: A Combined Model,
CVPR14(1067-1074)
IEEE DOI 1409
Alternate Optimization BibRef

Asthana, A.[Akshay], Zafeiriou, S.P.[Stefanos P.], Cheng, S.Y.[Shi-Yang], Pantic, M.[Maja],
Robust Discriminative Response Map Fitting with Constrained Local Models,
CVPR13(3444-3451)
IEEE DOI 1309
Constrained Local Models; Generic Face Alignment; Non-Rigid Registration BibRef

Shen, X.H.[Xiao-Hui], Lin, Z.[Zhe], Brandt, J.[Jonathan], Wu, Y.[Ying],
Detecting and Aligning Faces by Image Retrieval,
CVPR13(3460-3467)
IEEE DOI 1309
BibRef

Xiong, X.H.[Xue-Han], de la Torre, F.[Fernando],
Supervised Descent Method and Its Applications to Face Alignment,
CVPR13(532-539)
IEEE DOI 1309
face alignment BibRef

Sun, L.[Lin], Dai, X.X.[Xiao X.],
Sketch-based face alignment for thermal face recognition,
ICPR12(2347-2350).
WWW Link. 1302
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Bailly, K.[Kevin], Milgram, M.[Maurice], Phothisane, P.[Philippe], Bigorgne, E.[Erwan],
Learning global cost function for face alignment,
ICPR12(1112-1115).
WWW Link. 1302
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Roh, M.C.[Myung-Cheol], Oguri, T.[Takaharu], Kanade, T.[Takeo],
Face alignment robust to occlusion,
FG11(239-244).
IEEE DOI 1103
BibRef

Gao, H.[Hua], Ekenel, H.K.[Hazim Kemal], Stiefelhagen, R.[Rainer],
Face Alignment Using a Ranking Model based on Regression Trees,
BMVC12(118).
DOI Link 1301
BibRef

Ekenel, H.K.[Hazim K.], Stiefelhagen, R.[Rainer],
Face alignment by minimizing the closest classification distance,
BTAS09(1-6).
IEEE DOI 0909
BibRef

Kazemi, V.[Vahid], Sullivan, J.[Josephine],
One Millisecond Face Alignment with an Ensemble of Regression Trees,
CVPR14(1867-1874)
IEEE DOI 1409
BibRef
Earlier:
Face Alignment with Part-Based Modeling,
BMVC11(xx-yy).
HTML Version. 1110
Decision Trees; Face Alignment; Gradient Boosting; Real-Time BibRef

Hua, G.[Gang], Akbarzadeh, A.[Amir],
A robust elastic and partial matching metric for face recognition,
ICCV09(2082-2089).
IEEE DOI 0909
BibRef

Zhang, H.[Hua], Liu, D.[Duanduan], Poel, M.[Mannes], Nijholt, A.[Anton],
Face Alignment Using Boosting and Evolutionary Search,
ACCV09(II: 110-119).
Springer DOI 0909
BibRef

Su, Y.C.[Yan-Chao], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Multi-View Face Alignment Using 3D Shape Model for View Estimation,
ICB09(179-188).
Springer DOI 0906
BibRef
Earlier:
Robust real-time face alignment based on ASM with boosting regression for displacement prediction,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Real-time face alignment with tracking in video,
ICIP08(1632-1635).
IEEE DOI 0810

See also Human Pose Estimation Using Exemplars and Part Based Refinement. BibRef

Zhang, L.[Li], Ai, H.Z.[Hai-Zhou],
Multi-View Active Shape Model with Robust Parameter Estimation,
ICPR06(IV: 469-468).
IEEE DOI 0609
BibRef

Zhang, L.[Li], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Robust Face Alignment Based on Hierarchical Classifier Network,
CVHCI06(1-11).
Springer DOI 0605
BibRef

Li, Y.[Yuan], Ai, H.Z.[Hai-Zhou], Huang, C.[Chang], Lao, S.H.[Shi-Hong],
Robust Head Tracking Based on a Multi-State Particle Filter,
FGR06(335-340).
IEEE DOI 0604
BibRef
And:
Robust Head Tracking with Particles Based on Multiple Cues Fusion,
CVHCI06(29-39).
Springer DOI 0605
BibRef

Zhu, J.K.[Jian-Ke], Van Gool, L.J.[Luc J.], Hoi, S.C.H.[Steven C.H.],
Unsupervised face alignment by robust nonrigid mapping,
ICCV09(1265-1272).
IEEE DOI 0909
BibRef

Stormer, A.[Andre], Rigoll, G.[Gerhard],
Learning weighted similarity measurements for unconstrained face recognition,
ICIP09(61-64).
IEEE DOI 0911
BibRef
Earlier:
A multi-step alignment scheme for face recognition in range images,
ICIP08(2748-2751).
IEEE DOI 0810
BibRef

Liang, L.[Lin], Xiao, R.[Rong], Wen, F.[Fang], Sun, J.[Jian],
Face Alignment Via Component-Based Discriminative Search,
ECCV08(II: 72-85).
Springer DOI 0810
BibRef

Gu, L.[Leon], Kanade, T.[Takeo],
A Generative Shape Regularization Model for Robust Face Alignment,
ECCV08(I: 413-426).
Springer DOI 0810
BibRef
Earlier:
3D Alignment of Face in a Single Image,
CVPR06(I: 1305-1312).
IEEE DOI 0606

See also Robustly Aligning a Shape Model and Its Application to Car Alignment of Unknown Pose. BibRef

Zhao, M.[Ming], Chua, T.S.[Tat-Seng],
Markovian mixture face recognition with discriminative face alignment,
FG08(1-6).
IEEE DOI 0809
BibRef
Earlier:
Face Alignment with Unified Subspace Optimization of Active Statistical Models,
FGR06(67-72).
IEEE DOI 0604
BibRef

Zhao, M.[Ming], Chen, C.[Chun], Li, S.Z., Bu, J.J.[Jia-Jun],
Subspace analysis and optimization for AAM based face alignment,
AFGR04(290-295).
IEEE DOI 0411
BibRef

Zhang, W.[Wei], Zhou, Y.[Yi], Tang, X.[Xiaoou], Deng, J.H.[Jun-Hui],
A Probabilistic Model for Robust Face Alignment in Videos,
ICIP05(III: 1060-1063).
IEEE DOI 0512
BibRef

Zhou, Y.[Yi], Zhang, W.[Wei], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
A Bayesian Mixture Model for Multi-View Face Alignment,
CVPR05(II: 741-746).
IEEE DOI 0507
BibRef

Jiao, F.[Feng], Li, S., Shum, H.Y.[Heung-Yeung], Schuurmans, D.,
Face alignment using statistical models and wavelet features,
CVPR03(I: 321-327).
IEEE DOI 0307
BibRef

Fan, L.X.[Li-Xin], Sung, K.K.[Kah Kay],
A Combined Feature-Texture Similarity Measure for Face Alignment under Varying Pose,
CVPR00(I: 308-313).
IEEE DOI 0005
BibRef

Yan, J.[Jie], Zhang, H.J.[Hong-Jiang],
Synthesized Virtual View-Based EigenSpace for Face Recognition,
WACV00(85-90).
IEEE DOI 0010
Generate virtual view, align with generic 3-D model. BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Alignment, Registration, 3-D Models .


Last update:Mar 16, 2024 at 20:36:19