21.2.2.6.4 Face Alignment, Registration, 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

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

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.H.[Jun-Ho], 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

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

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

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

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.P.[Stefanos P.],
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

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

Tulyakov, S.[Sergey], Jeni, L.A.[László A.], Cohn, J.F.[Jeffrey F.], Sebe, N.[Nicu],
Viewpoint-Consistent 3D Face Alignment,
PAMI(40), No. 9, September 2018, pp. 2250-2264.
IEEE DOI 1808
Face, Shape, Solid modeling, Active appearance model, morphable model
See also Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions. BibRef

Jeni, L.A.[László A.], Tulyakov, S.[Sergey], Yin, L.J.[Li-Jun], Sebe, N.[Nicu], Cohn, J.F.[Jeffrey F.],
The First 3D Face Alignment in the Wild (3DFAW) Challenge,
3DFAW16(II: 511-520).
Springer DOI 1611
BibRef

Tulyakov, S.[Sergey], Sebe, N.[Nicu],
Regressing a 3D Face Shape from a Single Image,
ICCV15(3748-3755)
IEEE DOI 1602
Face BibRef

Tulyakov, S.[Sergey], Vieriu, R.L.[Radu-Laurentiu], Sangineto, E., Sebe, N.[Nicu],
FaceCept3D: Real Time 3D Face Tracking and Analysis,
CV4AC15(28-33)
IEEE DOI 1602
Face BibRef

Tulyakov, S.[Sergey], Vieriu, R.L.[Radu-Laurentiu], Semeniuta, S.[Stanislau], Sebe, N.[Nicu],
Robust Real-Time Extreme Head Pose Estimation,
ICPR14(2263-2268)
IEEE DOI 1412
Detectors BibRef

Kumar, A.[Amit], Alavi, A.[Azadeh], Chellappa, R.[Rama],
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors,
IVC(79), 2018, pp. 49-62.
Elsevier DOI 1811
Face alignment, Keypoints, Landmarks, Deep networks, Convolution Neural Networks 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

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

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

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

Liu, F.[Feng], Zhao, Q.J.[Qi-Jun], 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

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

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

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

Ruan, Z.[Zeyu], Zou, C.Q.[Chang-Qing], Wu, L.H.[Long-Hai], Wu, G.S.[Gang-Shan], Wang, L.M.[Li-Min],
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction,
IP(30), 2021, pp. 5793-5806.
IEEE DOI 2106
Faces, Face recognition, Shape, Image reconstruction, Geometry, Solid modeling, occlusion-aware attention BibRef

Zhang, J.H.[Jia-Hui], Di, L.[Lan], Liang, J.Z.[Jiu-Zhen],
Face alignment based on fusion subspace and 3D fitting,
IET-IPR(15), No. 1, 2021, pp. 16-27.
DOI Link 2106
BibRef

Mane, T.[Tejas], Bayramova, A.[Aylar], Daniilidis, K.[Kostas], Mordohai, P.[Philippos], Bernardis, E.[Elena],
Single-camera 3D head fitting for mixed reality clinical applications,
CVIU(218), 2022, pp. 103384.
Elsevier DOI 2205
3DMM fitting, 3D head reconstruction, Head features BibRef

Ferrari, C.[Claudio], Berretti, S.[Stefano], Pala, P.[Pietro], Bimbo, A.D.[Alberto Del],
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces,
PAMI(44), No. 10, October 2022, pp. 6667-6682.
IEEE DOI 2209
Faces, Strain, Solid modeling, Shape, Training, Training data, 3D morphable model, sparse components learning, dense correspondence BibRef

Fan, Z.F.[Zhen-Feng], Hu, X.Y.[Xi-Yuan], Chen, C.[Chen], Wang, X.L.[Xiao-Lian], Peng, S.L.[Si-Long],
A landmark-free approach for automatic, dense and robust correspondence of 3D faces,
PR(133), 2023, pp. 108971.
Elsevier DOI 2210
3D face, Dense correspondence, Non-rigid registration BibRef

Shakeel, M.S.[M. Saad], Zhang, Y.X.[Yu-Xuan], Wang, X.[Xin], Kang, W.X.[Wen-Xiong], Mahmood, A.[Arif],
Multi-scale attention guided network for end-to-end face alignment and recognition,
JVCIR(88), 2022, pp. 103628.
Elsevier DOI 2210
Attention network, Feature alignment, Multi-scale features, Adaptive feature fusion BibRef

Li, K.Q.[Ke-Qiang], Wu, H.Y.[Huai-Yu], Shang, X.Q.[Xiu-Qin], Shen, Z.[Zhen], Xiong, G.[Gang], Dong, X.[Xisong], Hu, B.[Bin], Wang, F.Y.[Fei-Yue],
Joint Face Alignment and 3D Face Reconstruction with Efficient Convolution Neural Networks,
ICPR21(6973-6979)
IEEE DOI 2105
Training, Solid modeling, Convolution, Face recognition, Neural networks, Complexity theory, 3DMM 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
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

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

Jiang, L., Wu, X., Kittler, J.V.[Josef V.],
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

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
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

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

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

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

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

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

Bulat, A.[Adrian], Tzimiropoulos, Y.[Yorgos],
Convolutional aggregation of local evidence for large pose face alignment,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Sánta, Z.[Zsolt], Kato, Z.[Zoltan],
3D Face Alignment Without Correspondences,
3DFAW16(II: 521-535).
Springer DOI 1611
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

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

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

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
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

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

Tang, X.M., Chen, J.S.[Jian-Sheng], Moon, Y.S.[Yiu-Sang],
Towards more accurate 3D face registration under the guidance of prior anatomical knowledge on human faces,
FG08(1-6).
IEEE DOI 0809
BibRef

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
BibRef

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

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
BibRef

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

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Recogniton, Stereo Based, Multiple Images .