21.2.2.4.3 Face Alignment, Registration, Recognition, 3-D Models

Fright, W.R., and Linney, A.D.,
Registration of 3-D Head Surfaces Using Multiple Landmarks,
MedImg(12), No. 3, September 1993, pp. 515-520.
IEEE Top Reference. BibRef 9309

Maurer, Jr., C.R., Aboutanos, G.B., Dawant, B.M., Maciunas, R.J., Fitzpatrick, J.M.,
Registration of 3-D images using weighted geometrical features,
MedImg(15), No. 6, December 1996, pp. 836-849.
IEEE Top Reference. 0203
BibRef

Maurer, Jr., C.R., Fitzpatrick, J.M., Wang, M.Y., Galloway, Jr., R.L., Maciunas, R.J., Allen, G.S.,
Registration of head volume images using implantable fiducial markers,
MedImg(16), No. 4, August 1997, pp. 447-462.
IEEE Top Reference. 0205
BibRef

West, J.B., Fitzpatrick, J.M., Wang, M.Y., Dawant, B.M., Maurer, Jr., C.R., Kessler, R.M., Maciunas, R.J.,
Retrospective intermodality registration techniques for images of the head: surface-based versus volume-based,
MedImg(18), No. 2, February 1999, pp. 144-150.
IEEE Top Reference. 0110
BibRef

West, J.B., Fitzpatrick, J.M., Wang, M.Y., Dawant, B.M., Maurer, Jr., C.R., Kessler, R.M., Maciunas, R.J., Barillot, C., Lemoine, D., Collignon, A., Maes, F., Suetens, P., Vandermeulen, D., van den Elsen, P.A., Napel, S., Sumanaweera, T., Harkness, B., Hemler, P., Hill, D., Hawkes, D.J., Studholme, C., Antoine Maintz, J., Viergever, M.A., Malandain, G., Pennec, X., Noz, M., Maguire, Jr., G.Q., Pollack, M., Pelizzari, C., Robb, R., Hanson, D., Woods, R.,
Comparison and Evaluation of Retrospective Intermodality Registration Techniques,
JCAT(21), No. 4, 1997, pp. 554-566. 0209
BibRef

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

Boughorbel, F.[Faysal], Koschan, A.F.[Andreas F.], Abidi, B.R.[Besma R.], Abidi, M.A.[Mongi A.],
Gaussian fields: a new criterion for 3D rigid registration,
PR(37), No. 7, July 2004, pp. 1567-1571.
Elsevier DOI 0405
BibRef
Earlier:
Gaussian energy functions for registration without correspondences,
ICPR04(III: 24-27).
IEEE DOI 0409
BibRef

Ayyagari, V.R., Boughorbel, F.[Faysal], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
A New Method for Automatic 3D Face Registration,
SafeSecur05(III: 119-119).
IEEE DOI 0507
BibRef
And: A2, A3, A4, Only:
Automatic Registration of 3D Datasets using Gaussian Fields,
ICIP05(III: 804-807).
IEEE DOI 0512
BibRef

Boughorbel, F.[Faysal], Mercimek, M.[Muharrem], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
A new method for the registration of three-dimensional point-sets: The Gaussian Fields framework,
IVC(28), No. 1, Januray 2010, pp. 124-137.
Elsevier DOI 1001
Rigid registration; Gaussian Fields; Moment invariants; Fast Gauss Transform; Optimization BibRef

Gökberk, B.[Berk], Irfanoglu, M.O.[M. Okan], Akarun, L.[Lale],
3D shape-based face representation and feature extraction for face recognition,
IVC(24), No. 8, August 2006, pp. 857-869.
Elsevier DOI 0608
BibRef
Earlier: A2, A1, A3:
3D shape-based face recognition using automatically registered facial surfaces,
ICPR04(IV: 183-186).
IEEE DOI 0409
3D face recognition; Face registration; 3D surface descriptors
See also Learning the best subset of local features for face recognition. BibRef

Gökberk, B.[Berk], Salah, A.A.[Albert Ali], Akarun, L.[Lale],
Rank-Based Decision Fusion for 3D Shape-Based Face Recognition,
AVBPA05(1019).
Springer DOI 0509
BibRef

Gokberk, B.[Berk], Akarun, L.[Lale],
Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition,
ICPR06(III: 1018-1021).
IEEE DOI 0609
BibRef

Alyuz, N.[Nese], Gokberk, B.[Berk], Akarun, L.[Lale],
Detection of Realistic Facial Occlusions for Robust 3D Face Recognition,
ICPR14(375-380)
IEEE DOI 1412
BibRef
Earlier:
Adaptive Registration for Occlusion Robust 3D Face Recognition,
BeFIT12(III: 557-566).
Springer DOI 1210
BibRef
Earlier:
A 3D Face Recognition System for Expression and Occlusion Invariance,
BTAS08(1-7).
IEEE DOI 0809
Computational modeling BibRef

Alyuz, N.[Nese], Gokberk, B.[Berk], Dibeklioglu, H.[Hamdi], Akarun, L.[Lale],
Component-based registration with curvature descriptors for expression insensitive 3d face recognition,
FG08(1-6).
IEEE DOI 0809
BibRef

Gu, L.[Lie], Li, Z.Q.[Zi-Qing], Zhang, H.J.[Hong-Jiang],
Stereo-coupled face shape registration,
US_Patent7,218,760, May 15, 2007
WWW Link. BibRef 0705

McCool, C., Chandran, V., Sridharan, S., Fookes, C.,
3D face verification using a free-parts approach,
PRL(29), No. 9, 1 July 2008, pp. 1190-1196.
Elsevier DOI 0711
3D face recognition; Feature distribution modelling; Pattern recognition; Face recognition
See also Combined 2D/3D Face Recognition Using Log-Gabor Templates. BibRef

McCool, C.[Chris], Sanchez-Riera, J.[Jordi], Marcel, S.[Sebastien],
Feature distribution modelling techniques for 3D face verification,
PRL(31), No. 11, 1 August 2010, pp. 1324-1330.
Elsevier DOI 1008
Feature distribution modelling; Hidden Markov models; Gaussian mixture models; 3D face verification BibRef

McCool, C.[Christopher], Marcel, S.[Sébastien],
Parts-Based Face Verification Using Local Frequency Bands,
ICB09(259-268).
Springer DOI 0906
BibRef

Cheng, X.[Xin], Fookes, C.[Clinton], Sridharan, S., Saragih, J., Lucey, S.,
Deformable face ensemble alignment with robust grouped-L1 anchors,
FG13(1-7)
IEEE DOI 1309
face recognition BibRef

Cook, J.A., Chandran, V., Sridharan, S., Fookes, C.,
Face recognition from 3d data using iterative closest point algorithm and gaussian mixture models,
3DPVT04(502-509).
IEEE DOI 0412
BibRef

Nair, P.M.[Prathap M.], Cavallaro, A.[Andrea],
3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model,
MultMed(11), No. 4, June 2009, pp. 611-623.
IEEE DOI 0905
BibRef
Earlier:
Matching 3D Faces with Partial Data,
BMVC08(xx-yy).
PDF File. 0809
BibRef
Earlier:
Region Segmentation and Feature Point Extraction on 3D Faces using a Point Distribution Model,
ICIP07(III: 85-88).
IEEE DOI 0709
BibRef

Daniyal, F.[Fahad], Nair, P.M.[Prathap M.], Cavallaro, A.[Andrea],
Compact Signatures for 3D Face Recognition under Varying Expressions,
AVSBS09(302-307).
IEEE DOI 0909
BibRef

Granai, L.[Lorenzo], Tena, J.R.[J. Rafael], Hamouz, M.[Miroslav], Kittler, J.V.[Josef V.],
Influence of compression on 3D face recognition,
PRL(30), No. 8, 1 June 2009, pp. 745-750.
Elsevier DOI 0905
3D face recognition; Biometric; Identification; Registration; Compression; Wavelet BibRef

Granai, L.[Lorenzo], Hamouz, M.[Miroslav], Tena, J.R.[Jose R.], Vlachos, T.[Theodore],
Compression for 3D face recognition applications,
AVSBS07(33-38).
IEEE DOI 0709
BibRef

Granai, L., Vlachos, T., Hamouz, M., Tena, J.R.[J. Rafael], Davies, T.,
Model-Based Coding of 3D Head Sequences,
3DTV07(1-4).
IEEE DOI 0705
BibRef

Tena, J.R., Hamouz, M., Hilton, A., Illingworth, J.,
A Validated Method for Dense Non-rigid 3D Face Registration,
AVSBS06(81-81).
IEEE DOI 0611
BibRef

Kittler, J.V., Hilton, A., Hamouz, M., Illingworth, J.,
3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approaches,
SafeSecur05(III: 114-114).
IEEE DOI 0507
BibRef

Heseltine, T.[Thomas], Pears, N.E.[Nick E.], Austin, J.[Jim],
Three-dimensional face recognition using combinations of surface feature map subspace components,
IVC(26), No. 3, 3 March 2008, pp. 382-396.
Elsevier DOI 0801
BibRef
Earlier:
Three-Dimensional Face Recognition Using Surface Space Combinations,
BMVC04(xx-yy).
HTML Version. 0508
BibRef
And:
Three-Dimensional Face Recognition: A Fishersurface Approach,
ICIAR04(II: 684-691).
Springer DOI 0409
BibRef
And:
Three-dimensional face recognition: an eigensurface approach,
ICIP04(II: 1421-1424).
IEEE DOI 0505
Face recognition; Three-dimensional; Depth map; Range data; Multi-feature; Subspace combinations BibRef

Pears, N.E.[Nick E.],
RBF shape histograms and their application to 3D face processing,
FG08(1-8).
IEEE DOI 0809
BibRef

Pears, N.E.[Nick E.], Heseltine, T.[Tom],
Isoradius Contours: New Representations and Techniques for 3D Face Registration and Matching,
3DPVT06(176-183).
IEEE DOI 0606
BibRef

Romero-Huertas, M.[Marcelo], Pears, N.E.[Nick E.],
Point-pair descriptors for 3D facial landmark localisation,
BTAS09(1-6).
IEEE DOI 0909
BibRef

Romero-Huertas, M.[Marcelo], Pears, N.E.[Nick E.],
Landmark Localisation in 3D Face Data,
AVSBS09(73-78).
IEEE DOI 0909
BibRef
Earlier:
3D Facial Landmark Localisation by Matching Simple Descriptors,
BTAS08(1-6).
IEEE DOI 0809
BibRef

Pears, N.E.[Nick E.], Heseltine, T.[Tom], Romero, M.[Marcelo],
From 3D Point Clouds to Pose-Normalised Depth Maps,
IJCV(89), No. 2-3, September 2010, pp. xx-yy.
Springer DOI 1006
depth maps from noisy 3D point data. Used for 3D face alignment. BibRef

Stockman, G.C.[George C.], Payne, J.[Jayson], Sadler, J.[Jermil], and Colbry, D.[Dirk],
Error Analysis of Sensor Input Variations in a 3D Face Surface Matching System,
Sensor Review Journal(26), No. 2, 2006, pp. 116-121. 0906
BibRef

Colbry, D.[Dirk], Stockman, G.C.[George C.],
Real-time identification using a canonical face depth map,
IET-CV(3), No. 2, June 2009, pp. 74-92.
DOI Link 0906
BibRef
Earlier:
Canonical Face Depth Map: A Robust 3D Representation for Face Verification,
CVPR07(1-7).
IEEE DOI 0706
BibRef
Earlier:
Identity Verification Via the 3Bid Face Alignment System,
WACV07(2-2).
IEEE DOI 0702
BibRef

Colbry, D.[Dirk], Stockman, G.C.[George C.],
The 3DID face alignment system for verifying identity,
IVC(27), No. 8, 2 July 2009, pp. 1121-1133.
Elsevier DOI 0906
Biometrics; 3D face verification BibRef

Colbry, D., Stockman, G.C., Jain, A.K.[Anil K.],
Detection of Anchor Points for 3D Face Verification,
SafeSecur05(III: 118-118).
IEEE DOI 0507
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

Queirolo, C.C.[Chaua C.], Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Pamplona Segundo, M.[Mauricio],
3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure,
PAMI(32), No. 2, February 2010, pp. 206-219.
IEEE DOI 1001
BibRef
Earlier:
3D face recognition using the Surface Interpenetration Measure: A comparative evaluation on the FRGC database,
ICPR08(1-5).
IEEE DOI 0812

See also 3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure. Simulated annealing for range registration. BibRef

Pamplona Segundo, M.[Mauricio], Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Queirolo, C.C.[Chaua C.],
Automatic Face Segmentation and Facial Landmark Detection in Range Images,
SMC-B(40), No. 5, October 2010, pp. 1319-1330.
IEEE DOI 1003
BibRef
Earlier: A1, A4, A3, A2:
Automatic 3D facial segmentation and landmark detection,
CIAP07(431-436).
IEEE DOI 0709
BibRef
Earlier: A4, A1, A3, A2:
Noise versus Facial Expression on 3D Face Recognition,
CIAP07(171-178).
IEEE DOI 0709

See also Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms. BibRef

Bellon, O.R.P.[Olga R.P.], Silva, L.[Luciano], Queirolo, C.C.[Chauã C.], Drovetto, S., Pamplona Segundo, M.[Mauricio],
3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,
ICIP06(2661-2664).
IEEE DOI 0610

See also 3D face recognition using the Surface Interpenetration Measure: A comparative evaluation on the FRGC database. BibRef

Bellon, O.R.P.[Olga R.P.], Silva, L.[Luciano], Queirolo, C.C.[Chauã C.],
3D Face Matching Using the Surface Interpenetration Measure,
CIAP05(1051-1058).
Springer DOI 0509
BibRef

Zeng, W.[Wei], Samaras, D.[Dimitris], Gu, X.F.D.[Xian-Feng David],
Ricci Flow for 3D Shape Analysis,
PAMI(32), No. 4, April 2010, pp. 662-677.
IEEE DOI 1003
Curvature flow method, invariant ot rigid motion, etc. Handles surfaces of arbitrary topology. Apply to dynamic heart data. BibRef

Zeng, W.[Wei], Yin, X.T.[Xiao-Tian], Zeng, Y.[Yun], Lai, Y.K.[Yu-Kun], Gu, X.F.[Xian-Feng], Samaras, D.[Dimitris],
3D face matching and registration based on hyperbolic Ricci flow,
3DFace08(1-8).
IEEE DOI 0806
BibRef

Gu, X.F.[Xian-Feng], Wang, S.[Sen], Kim, J.[Junho], Zeng, Y.[Yun], Wang, Y.[Yang], Qin, H.[Hong], Samaras, D.[Dimitris],
Ricci Flow for 3D Shape Analysis,
ICCV07(1-8).
IEEE DOI 0710
Curvature flow method in geometric analysis. For 3D alignment and matching. BibRef

Wang, Y.M.[Yue-Ming], Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou],
Robust 3D Face Recognition by Local Shape Difference Boosting,
PAMI(32), No. 10, October 2010, pp. 1858-1870.
IEEE DOI 1008
Collective shape difference classifier. High efficency. Posture alignment. Signed Shape Difference Map between aligned 3D faces. BibRef

Wang, Y.M.[Yue-Ming], Pan, G.[Gang], Liu, J.Z.[Jian-Zhuang],
A deformation model to reduce the effect of expressions in 3D face recognition,
VC(27), No. 5, May 2011, pp. 333-345.
WWW Link. 1101
BibRef

Wang, Y.M.[Yue-Ming], Tang, X.[Xiaoou], Liu, J.Z.[Jian-Zhuang], Pan, G.[Gang], Xiao, R.[Rong],
3D Face Recognition by Local Shape Difference Boosting,
ECCV08(I: 603-616).
Springer DOI 0810
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

Spreeuwers, L.J.[Luuk J.],
Fast and Accurate 3D Face Recognition: Using Registration to an Intrinsic Coordinate System and Fusion of Multiple Region Classifiers,
IJCV(93), No. 3, July 2011, pp. 389-414.
WWW Link. 1104
BibRef

Spreeuwers, L.J.[Luuk J.],
Breaking the 99% barrier: Optimisation of three-dimensional face recognition,
IET-Bio(4), No. 3, 2015, pp. 169-178.
DOI Link 1509
face recognition BibRef

Zhang, G.P.[Guang-Peng], Wang, Y.H.[Yun-Hong],
Robust 3D face recognition based on resolution invariant features,
PRL(32), No. 7, 1 May 2011, pp. 1009-1019.
Elsevier DOI 1101
3D Face recognition; Resolution invariant; Local feature; Multimodal BibRef

Huang, Y.G.[Yong-Gang], Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu],
Discriminating 3D Faces by Statistics of Depth Differences,
ACCV07(II: 690-699).
Springer DOI 0711
BibRef

Liu, P.J.[Pei-Jiang], Wang, Y.H.[Yun-Hong], Zhang, Z.X.[Zhao-Xiang], Wang, Y.D.[Yi-Ding],
Automatic and robust 3D Face Registration using Multiresolution Spherical Depth Map,
ICIP10(4389-4392).
IEEE DOI 1009
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

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
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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
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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
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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
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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
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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
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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
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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

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

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

Palmer, R.L., Helmholz, P., Baynam, G.,
Cliniface: Phenotypic Visualisation and Analysis Using Non-rigid Registration of 3d Facial Images,
ISPRS20(B2:301-308).
DOI Link 2012
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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
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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
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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.[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

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
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

Koppen, W.P., Chan, C.H., Christmas, W.J., Kittler, J.V.,
An intrinsic coordinate system for 3D face registration,
ICPR12(2740-2743).
WWW Link. 1302
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Sun, L.[Lin], Dai, X.X.[Xiao X.],
Sketch-based face alignment for thermal face recognition,
ICPR12(2347-2350).
WWW Link. 1302
BibRef

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
BibRef

Smith, B.M.[Brandon M.], Zhang, L.[Li],
Joint Face Alignment with Non-parametric Shape Models,
ECCV12(III: 43-56).
Springer DOI 1210
BibRef

Jorstad, A.[Anne], Jacobs, D.W.[David W.], Trouve, A.[Alain],
A deformation and lighting insensitive metric for face recognition based on dense correspondences,
CVPR11(2353-2360).
IEEE DOI 1106
BibRef

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

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

Ayala-Raggi, S.E.[Salvador E.], Altamirano-Robles, L.[Leopoldo], Cruz-Enriquez, J.[Janeth],
Recovering 3D Shape and Albedo from a Face Image under Arbitrary Lighting and Pose by Using a 3D Illumination-Based AAM Model,
ICIAR09(584-593).
Springer DOI 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
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

Tang, X.M., Chen, J.S.[Jian-Sheng], Moon, Y.S.[Yiu-Sang],
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FG08(1-6).
IEEE DOI 0809
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Fahmi, R.[Rachid], Farag, A.A.[Aly A.],
A Novel Shape Registration Framework and Its Application to 3D Face Recognition in the Presence of Expressions,
ISVC08(II: 287-296).
Springer DOI 0812
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Song, Y.[Yi], Bai, L.[Li],
3D Face Recognition Based on Non-iterative Registration and Single B-Spline Patch Modelling Techniques,
ACIVS06(786-798).
Springer DOI 0609
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

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
BibRef

Kahraman, F.[Fatih], Kurt, B.[Binnur], Gokmen, M.[Muhittin],
Robust Face Alignment for Illumination and Pose Invariant Face Recognition,
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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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Recogniton, Stereo Based, Multiple Images .