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Bayes methods.
ASM; Active Shape Models; CLM; Constrained Local Models; Face alignment
BibRef
Martins, P.[Pedro],
Henriques, J.F.[Joăo 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.[Joăo 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
Liao, S.C.[Sheng-Cai],
Jain, A.K.[Anil K.],
Li, S.Z.[Stan Z.],
Partial Face Recognition: Alignment-Free Approach,
PAMI(35), No. 5, May 2013, pp. 1193-1205.
IEEE DOI
1304
BibRef
Yang, J.[Jimei],
Liao, S.C.[Sheng-Cai],
Li, S.Z.[Stan Z.],
Automatic Partial Face Alignment in NIR Video Sequences,
ICB09(249-258).
Springer DOI
0906
BibRef
Pan, G.,
Zhang, X.,
Wang, Y.,
Hu, Z.,
Zheng, X.,
Wu, Z.,
Establishing Point Correspondence of 3D Faces Via Sparse Facial
Deformable Model,
IP(22), No. 11, 2013, pp. 4170-4181.
IEEE DOI
1310
3D face; Vertex correspondence; face deformation; sparse model
BibRef
Unzueta, L.[Luis],
Pimenta, W.[Waldir],
Goenetxea, J.[Jon],
Santos, L.P.[Luís Paulo],
Dornaika, F.[Fadi],
Efficient generic face model fitting to images and videos,
IVC(32), No. 5, 2014, pp. 321-334.
Elsevier DOI
1404
Face model fitting
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
Taveira, G.[Giancarlo],
Fernandes, L.A.F.[Leandro A.F.],
Automatic alignment and reconstruction of facial depth images,
PRL(50), No. 1, 2014, pp. 82-90.
Elsevier DOI
1410
Depth image
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
Liu, Q.,
Deng, J.,
Tao, D.,
Dual Sparse Constrained Cascade Regression for Robust Face Alignment,
IP(25), No. 2, February 2016, pp. 700-712.
IEEE DOI
1601
Adaptation models
BibRef
Liu, Q.,
Deng, J.,
Yang, J.,
Liu, G.,
Tao, D.,
Adaptive Cascade Regression Model For Robust Face Alignment,
IP(26), No. 2, February 2017, pp. 797-807.
IEEE DOI
1702
database indexing
BibRef
Deng, J.K.[Jian-Kang],
Zhou, Y.X.[Yu-Xiang],
Cheng, S.Y.[Shi-Yang],
Zaferiou, S.[Stefanos],
Cascade Multi-View Hourglass Model for Robust 3D Face Alignment,
FG18(399-403)
IEEE DOI
1806
Computational modeling, Face, Shape, Solid modeling,
Training,
Multiview
BibRef
Alashkar, T.[Taleb],
Ben Amor, B.[Boulbaba],
Daoudi, M.[Mohamed],
Berretti, S.[Stefano],
A Grassmann framework for 4D facial shape analysis,
PR(57), No. 1, 2016, pp. 21-30.
Elsevier DOI
1605
BibRef
Earlier:
A Grassmannian Framework for Face Recognition of 3D Dynamic Sequences
with Challenging Conditions,
NORDIA14(326-340).
Springer DOI
1504
4D face recognition
See also Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos.
BibRef
Deng, J.K.[Jian-Kang],
Liu, Q.S.[Qing-Shan],
Yang, J.[Jing],
Tao, D.C.[Da-Cheng],
M3 CSR: Multi-view, multi-scale and multi-component cascade shape
regression,
IVC(47), No. 1, 2016, pp. 19-26.
Elsevier DOI
1605
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
Jeni, L.A.[László A.],
Cohn, J.F.[Jeffrey F.],
Kanade, T.[Takeo],
Dense 3D face alignment from 2D video for real-time use,
IVC(58), No. 1, 2017, pp. 13-24.
Elsevier DOI
1703
3D face alignment
BibRef
Earlier:
Dense 3D face alignment from 2D videos in real-time,
FG15(1-8)
IEEE DOI
1508
face recognition
BibRef
Jeni, L.A.,
Girard, J.M.,
Cohn, J.F.,
Kanade, T.,
Real-time dense 3D face alignment from 2D video with automatic facial
action unit coding,
FG15(1-1)
IEEE DOI
1508
face recognition
BibRef
Cheng, S.[Shiyang],
Marras, I.[Ioannis],
Zafeiriou, S.P.[Stefanos P.],
Pantic, M.[Maja],
Statistical non-rigid ICP algorithm and its application to 3D face
alignment,
IVC(58), No. 1, 2017, pp. 3-12.
Elsevier DOI
1703
3D face alignment
BibRef
Hu, G.S.[Guo-Sheng],
Yan, F.[Fei],
Kittler, J.V.[Josef V.],
Christmas, W.[William],
Chan, C.H.[Chi Ho],
Feng, Z.H.[Zhen-Hua],
Huber, P.[Patrik],
Efficient 3D morphable face model fitting,
PR(67), No. 1, 2017, pp. 366-379.
Elsevier DOI
1704
Face recognition
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
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.[Xinbo],
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
Jourabloo, A.[Amin],
Liu, X.M.[Xiao-Ming],
Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting,
IJCV(124), No. 2, September 2017, pp. 187-203.
Springer DOI
1708
BibRef
Earlier:
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting,
CVPR16(4188-4196)
IEEE DOI
1612
BibRef
Earlier:
Pose-Invariant 3D Face Alignment,
ICCV15(3694-3702)
IEEE DOI
1602
Cameras
BibRef
Liu, Y.,
Jourabloo, A.[Amin],
Ren, W.,
Liu, X.M.[Xiao-Ming],
Dense Face Alignment,
AMFG17(1619-1628)
IEEE DOI
1802
Face, Labeling, Shape, Solid modeling,
Training
BibRef
Jourabloo, A.[Amin],
Ye, M.,
Liu, X.M.[Xiao-Ming],
Ren, L.,
Pose-Invariant Face Alignment with a Single CNN,
ICCV17(3219-3228)
IEEE DOI
1802
face recognition, optimisation, pose estimation, shape recognition,
CNN architecture, CNNs suffers, dense 3D face shape,
Visualization
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
Peng, Y.[Yuxi],
Spreeuwers, L.J.[Luuk J.],
Veldhuis, R.N.J.[Raymond N.J.],
Low-resolution face alignment and recognition using mixed-resolution
classifiers,
IET-Bio(6), No. 6, November 2017, pp. 418-428.
DOI Link
1711
BibRef
Peng, Y.[Yuxi],
Spreeuwers, L.J.[Luuk J.],
Veldhuis, R.N.J.[Raymond N.J.],
Low-resolution face recognition and the importance of proper alignment,
IET-Bio(8), No. 4, July 2019, pp. 267-276.
DOI Link
1906
BibRef
Hou, Q.[Qiqi],
Wang, J.[Jinjun],
Bai, R.[Ruibin],
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
Gilani, S.Z.[Syed Zulqarnain],
Mian, A.S.[Ajmal S.],
Shafait, F.[Faisal],
Reid, I.D.,
Dense 3D Face Correspondence,
PAMI(40), No. 7, July 2018, pp. 1584-1598.
IEEE DOI
1806
Databases, Deformable models, Face, Face recognition, Shape,
Solid modeling, 3D face,
morphing
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
Egger, B.[Bernhard],
Schönborn, S.[Sandro],
Schneider, A.[Andreas],
Kortylewski, A.[Adam],
Morel-Forster, A.[Andreas],
Blumer, C.[Clemens],
Vetter, T.[Thomas],
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face
Image Analysis,
IJCV(126), No. 12, December 2018, pp. 1269-1287.
Springer DOI
1811
BibRef
Gerig, T.[Thomas],
Morel-Forster, A.[Andreas],
Blumer, C.[Clemens],
Egger, B.[Bernhard],
Luthi, M.[Marcel],
Schönborn, S.[Sandro],
Vetter, T.[Thomas],
Morphable Face Models - An Open Framework,
FG18(75-82)
IEEE DOI
1806
Adaptation models, Deformable models, Face, Gaussian processes,
Kernel, Shape, Strain, Basel Face Model, Face Reconstruction,
Registration
BibRef
Zhao, R.Q.[Rui-Qi],
Wang, Y.[Yan],
Martinez, A.M.[Aleix M.],
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from
2D Landmarks on a Single Image,
PAMI(40), No. 12, December 2018, pp. 3059-3066.
IEEE DOI
1811
Image reconstruction, Neural networks, Solid modeling,
deep learning
BibRef
Zhao, R.Q.[Rui-Qi],
Wang, Y.[Yan],
Benitez-Quiroz, C.F.[C. Fabian],
Liu, Y.J.[Yao-Jie],
Martinez, A.M.[Aleix M.],
Fast and Precise Face Alignment and 3D Shape Reconstruction from a
Single 2D Image,
3DFAW16(II: 590-603).
Springer DOI
1611
BibRef
Zhu, X.Y.[Xiang-Yu],
Liu, X.M.[Xiao-Ming],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Face Alignment in Full Pose Range: A 3D Total Solution,
PAMI(41), No. 1, January 2019, pp. 78-92.
IEEE DOI
1812
Face, Shape,
Solid modeling, Training, Face alignment, 3D morphable model,
cascaded regression
BibRef
Zhu, X.Y.[Xiang-Yu],
Lei, Z.[Zhen],
Liu, X.M.[Xiao-Ming],
Shi, H.,
Li, S.Z.[Stan Z.],
Face Alignment Across Large Poses: A 3D Solution,
CVPR16(146-155)
IEEE DOI
1612
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
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
Valle, R.[Roberto],
Buenaposada, J.M.[José M.],
Valdés, A.[Antonio],
Baumela, L.[Luis],
Face alignment using a 3D deeply-initialized ensemble of regression
trees,
CVIU(189), 2019, pp. 102846.
Elsevier DOI
1911
BibRef
Earlier:
A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for
Face Alignment,
ECCV18(XIV: 609-624).
Springer DOI
1810
Face alignment, Cascaded shape regression,
Convolutional neural networks, Coarse-to-fine, Occlusions, Data set bias
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, F.[Feng],
Zhao, Q.[Qijun],
Liu, X.M.[Xiao-Ming],
Zeng, D.[Dan],
Joint Face Alignment and 3D Face Reconstruction with Application to
Face Recognition,
PAMI(42), No. 3, March 2020, pp. 664-678.
IEEE DOI
2002
BibRef
Earlier: A1, A4, A2, A3:
Joint Face Alignment and 3D Face Reconstruction,
ECCV16(V: 545-560).
Springer DOI
1611
Face, Shape, Image reconstruction, Face recognition, Solid modeling,
face recognition
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
Creusot, C.[Clement],
Pears, N.E.[Nick E.],
Austin, J.[Jim],
3D landmark model discovery from a registered set of organic shapes,
PCP12(57-64).
IEEE DOI
1207
BibRef
Creusot, C.[Clement],
Pears, N.E.[Nick E.],
Austin, J.[Jim],
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local
Shapes,
3DIMPVT11(204-211).
IEEE DOI
1109
BibRef
And:
3D face landmark labelling,
3DOR10(27-32).
DOI Link
1111
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.[Yifan],
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
Tan, J.S.[Joi San],
Liao, I.Y.[Iman Yi],
Venkat, I.[Ibrahim],
Belaton, B.[Bahari],
Jayaprakash, P.T.,
Computer-aided superimposition via reconstructing and matching 3D faces
to 3D skulls for forensic craniofacial identifications,
VC(36), No. 9, September 2020, pp. 1739-1753.
Springer DOI
2008
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
Ning, X.,
Duan, P.,
Li, W.,
Zhang, S.,
Real-Time 3D Face Alignment Using an Encoder-Decoder Network With an
Efficient Deconvolution Layer,
SPLetters(27), 2020, pp. 1944-1948.
IEEE DOI
2011
Decoding, Face recognition,
Deconvolution, Faces, Encoding, Real-time systems, 3D face alignment,
real time application
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
Guo, J.Z.[Jian-Zhu],
Zhu, X.Y.[Xiang-Yu],
Yang, Y.[Yang],
Yang, F.[Fan],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Towards Fast, Accurate and Stable 3d Dense Face Alignment,
ECCV20(XIX:152-168).
Springer DOI
2011
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
Browatzki, B.,
Wallraven, C.,
3FabRec: Fast Few-Shot Face Alignment by Reconstruction,
CVPR20(6109-6119)
IEEE DOI
2008
Face, Training, Image reconstruction, Heating systems, Generators,
Shape, Task analysis
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, computer vision, extrapolation,
face recognition, image fusion, image motion analysis, Task analysis
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
Jiang, L.,
Wu, X.,
Kittler, J.,
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment,
DFW19(504-513)
IEEE DOI
2004
face recognition, feature extraction, image enhancement,
image reconstruction, image representation, pose estimation,
disguise face recongnition
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
computer vision, 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
computer vision, face recognition, Gaussian distribution,
image resolution, learning (artificial intelligence),
Gaussian distribution
BibRef
Pillai, R.K.,
Jeni, L.A.,
Yang, H.,
Zhang, Z.,
Yin, L.,
Cohn, J.F.,
The 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video):
Dense Reconstruction From Video,
3DFAW19(3082-3089)
IEEE DOI
2004
computer vision, face recognition, image reconstruction,
image resolution, pose estimation, solid modelling,
3D face modeling
BibRef
Fan, Z.F.[Zhen-Feng],
Hu, X.[Xiyuan],
Chen, C.[Chen],
Peng, S.[Silong],
Boosting Local Shape Matching for Dense 3D Face Correspondence,
CVPR19(10936-10946).
IEEE DOI
2002
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, Computer Vision, 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
Aspandi, D.,
Martinez, O.,
Sukno, F.,
Binefa, X.,
Robust Facial Alignment with Internal Denoising Auto-Encoder,
CRV19(143-150)
IEEE DOI
1908
Noise reduction, Feature extraction, Robustness, Training,
Computational modeling, Data models, Analytical models,
Noise Normalization
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
computer vision, 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
Abrevaya, V.F.,
Wuhrer, S.,
Boyer, E.,
Spatiotemporal Modeling for Efficient Registration of Dynamic 3D
Faces,
3DV18(371-380)
IEEE DOI
1812
face recognition, image registration, image sequences,
regression analysis, temporal sequences, 3D face scans,
Spatiotemporal
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
Wu, W.,
Qian, C.,
Yang, S.,
Wang, Q.,
Cai, Y.,
Zhou, Q.,
Look at Boundary: A Boundary-Aware Face Alignment Algorithm,
CVPR18(2129-2138)
IEEE DOI
1812
Heating systems, Face, Nose, Message passing, Transforms, Eyelids, Bridges
BibRef
Feng, Y.[Yao],
Wu, F.[Fan],
Shao, X.[Xiaohu],
Wang, Y.F.[Yan-Feng],
Zhou, X.[Xi],
Joint 3D Face Reconstruction and Dense Alignment with Position Map
Regression Network,
ECCV18(XIV: 557-574).
Springer DOI
1810
BibRef
Fan, Z.F.[Zhen-Feng],
Hu, X.Y.[Xi-Yuan],
Chen, C.[Chen],
Peng, S.L.[Si-Long],
Dense Semantic and Topological Correspondence of 3D Faces without
Landmarks,
ECCV18(XVI: 541-558).
Springer DOI
1810
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, G.,
Han, H.,
Shan, S.,
Song, X.,
Chen, X.,
Face Alignment across Large Pose via MT-CNN Based 3D Shape
Reconstruction,
FG18(210-217)
IEEE DOI
1806
Face, Image reconstruction, Principal component analysis, Shape,
Task analysis,
multitask CNN
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
Bhagavatula, C.,
Zhu, C.,
Luu, K.,
Savvides, M.,
Faster than Real-Time Facial Alignment:
A 3D Spatial Transformer Network Approach in Unconstrained Poses,
ICCV17(4000-4009)
IEEE DOI
1802
face recognition, splines (mathematics), 3D shape basis,
3D spatial transformer network approach, 3DSTN,
BibRef
Tran, A.T.,
Hassner, T.[Tal],
Masi, I.[Iacopo],
Medioni, G.[Gérard],
Regressing Robust and Discriminative 3D Morphable Models with a Very
Deep Neural Network,
CVPR17(1493-1502)
IEEE DOI
1711
Face recognition, Image reconstruction, Robustness, Shape,
Training.
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
Trigeorgis, G.,
Snape, P.,
Nicolaou, M.A.[Mihalis A.],
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.[Siqi],
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
de Bittencourt Zavan, F.H.[Flávio H.],
Nascimento, A.C.P.[Antônio C.P.],
e Silva, L.P.[Luan P.],
Bellon, O.R.P.[Olga R.P.],
Silva, L.[Luciano],
3D Face Alignment in the Wild: A Landmark-Free, Nose-Based Approach,
3DFAW16(II: 581-589).
Springer DOI
1611
BibRef
Bulat, A.[Adrian],
Tzimiropoulos, Y.[Yorgos],
Convolutional aggregation of local evidence for large pose face
alignment,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Bulat, A.[Adrian],
Tzimiropoulos, G.[Georgios],
Binarized Convolutional Landmark Localizers for Human Pose Estimation
and Face Alignment with Limited Resources,
ICCV17(3726-3734)
IEEE DOI
1802
BibRef
Earlier:
Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face
Alignment in the Wild (3DFAW) Challenge,
3DFAW16(II: 616-624).
Springer DOI
1611
convolution, face recognition, neural nets,
pose estimation, CNNs,
See also Human Pose Estimation via Convolutional Part Heatmap Regression.
BibRef
Sánta, Z.[Zsolt],
Kato, Z.[Zoltan],
3D Face Alignment Without Correspondences,
3DFAW16(II: 521-535).
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.[Joăo],
Brandăo, 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
Yim, J.[Junho],
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.[Shizhan],
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
Li, W.[Wei],
Li, X.D.[Xu-Dong],
Goldberg, M.[Martin],
Zhu, Z.G.[Zhi-Gang],
Face Recognition by 3D Registration for the Visually Impaired Using a
RGB-D Sensor,
ACVR14(763-777).
Springer DOI
1504
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
Zhu, X.Y.[Xiang-Yu],
Yi, D.[Dong],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Robust 3D Morphable Model Fitting by Sparse SIFT Flow,
ICPR14(4044-4049)
IEEE DOI
1412
Face
BibRef
Jia, X.[Xuhui],
Zhu, X.L.[Xiao-Long],
Lin, A.[Angran],
Chan, K.P.,
Face alignment using structured random regressors combined with
statistical shape model fitting,
IVCNZ13(424-429)
IEEE DOI
1402
curve fitting
BibRef
Yan, J.J.[Jun-Jie],
Lei, Z.[Zhen],
Wen, L.Y.[Long-Yin],
Li, S.Z.[Stan Z.],
The Fastest Deformable Part Model for Object Detection,
CVPR14(2497-2504)
IEEE DOI
1409
deformable part model; face detection; object detection
See also Adaptive Structural Model for Video Based Pedestrian Detection.
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
Dahm, N.[Nicholas],
Gao, Y.S.[Yong-Sheng],
A Novel Pose Invariant Face Recognition Approach Using a 2D-3D
Searching Strategy,
ICPR10(3967-3970).
IEEE DOI
1008
BibRef
Wang, Z.J.[Zhong-Jie],
Grochulla, M.,
Thormahlen, T.,
Seidel, H.P.,
3D Face Template Registration Using Normal Maps,
3DV13(295-302)
IEEE DOI
1311
computational geometry
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
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Supervised Descent Method and Its Applications to Face Alignment,
CVPR13(532-539)
IEEE DOI
1309
face alignment
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Koppen, W.P.,
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ICPR12(2740-2743).
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ICPR12(2347-2350).
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CVPR11(2353-2360).
IEEE DOI
1106
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FG11(239-244).
IEEE DOI
1103
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Face Alignment Using a Ranking Model based on Regression Trees,
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Stiefelhagen, R.[Rainer],
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BTAS09(1-6).
IEEE DOI
0909
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Akbarzadeh, A.[Amir],
A robust elastic and partial matching metric for face recognition,
ICCV09(2082-2089).
IEEE DOI
0909
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Cruz-Enriquez, J.[Janeth],
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ICIAR09(584-593).
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0907
BibRef
And:
Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active
Appearance Model,
MIRAGE09(368-379).
Springer DOI
0905
BibRef
Earlier:
Towards an Illumination-Based 3D Active Appearance Model for Fast Face
Alignment,
CIARP08(568-575).
Springer DOI
0809
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Zhang, H.[Hua],
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Face Alignment Using Boosting and Evolutionary Search,
ACCV09(II: 110-119).
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0909
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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.
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Tang, X.M.,
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FG08(1-6).
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A Novel Shape Registration Framework and Its Application to 3D Face
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0812
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Song, Y.[Yi],
Bai, L.[Li],
3D Face Recognition Based on Non-iterative Registration and Single
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ACIVS06(786-798).
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0609
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Multi-View Active Shape Model with Robust Parameter Estimation,
ICPR06(IV: 469-468).
IEEE DOI
0609
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Lao, S.H.[Shi-Hong],
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CVHCI06(1-11).
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0605
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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
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And:
Robust Head Tracking with Particles Based on Multiple Cues Fusion,
CVHCI06(29-39).
Springer DOI
0605
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Zhu, J.K.[Jian-Ke],
Van Gool, L.J.[Luc J.],
Hoi, S.C.H.[Steven C.H.],
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ICCV09(1265-1272).
IEEE DOI
0909
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Stormer, A.[Andre],
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Learning weighted similarity measurements for unconstrained face
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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
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Suman, A.[Ambika],
Using 3D pose alignment tools in forensic applications of Face
Recognition,
BTAS08(1-6).
IEEE DOI
0809
BibRef
Kahraman, F.[Fatih],
Gokmen, M.[Muhittin],
Darkner, S.[Sune],
Larsen, R.[Rasmus],
An Active Illumination and Appearance (AIA) Model for Face Alignment,
Biometrics07(1-7).
IEEE DOI
0706
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Kahraman, F.[Fatih],
Kurt, B.[Binnur],
Gokmen, M.[Muhittin],
Robust Face Alignment for Illumination and Pose Invariant Face
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Biometrics07(1-7).
IEEE DOI
0706
BibRef
Kahraman, F.[Fatih],
Gokmen, M.[Muhittin],
Illumination Invariant Three-Stage Approach for Face Alignment,
ICIP06(2073-2076).
IEEE DOI
0610
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Lee, J.D.[Jiann-Der],
Hsieh, S.S.[Shih-Sen],
Huang, C.H.[Chung-Hsien],
Liu, L.C.[Li-Chang],
Wu, C.T.[Chien-Tsai],
Lee, S.T.[Shin-Tseng],
Chen, J.F.[Jyi-Feng],
An Adaptive ICP Registration for Facial Point Data,
ICPR06(IV: 703-706).
IEEE DOI
0609
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],
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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 Recogniton, Stereo Based, Multiple Images .