22.2.2.5 Face Recognition Using Models

Nakamura, O.[Osamu], Mathur, S.[Shailendra], Minami, T.[Toshi],
Identification of Human Faces Based on Isodensity Maps,
PR(24), No. 3, 1991, pp. 263-272.
Elsevier DOI BibRef 9100

Wurtz, R.P.,
Object Recognition Robust Under Translations, Deformations, and Changes in Background,
PAMI(19), No. 7, July 1997, pp. 769-775.
IEEE DOI 9708
Gabor pyramid matching of points on face image and a model.
See also Distortion Invariant Object Recognition in the Dynamic Link Architecture. BibRef

Wiskott, L.[Laurenz],
Phantom Faces for Face Analysis,
PR(30), No. 6, June 1997, pp. 837-846.
Elsevier DOI 9706
BibRef
And: ICIP97(III: 308-311).
IEEE DOI BibRef
And: CAIP97(480-487).
Springer DOI 9709
Gabor Wavelets. Images of faces are represented as graphs and matched by an elastic graph matching procedure
HTML Version. And
PS File. BibRef

Wiskott, L.[Laurenz],
Labeled Graphs and Dynamic Link Matching for Face Recognition and Scene Analysis,
Reihe Physik(53), Verlag Harri Deutsch, Thun-Frankfurt am Main, 1995.
HTML Version. BibRef 9500

Wiskott, L.[Laurenz], von der Malsburg, C.[Christoph],
Labeled bunch graphs for image analysis,
US_Patent6,222,939, Apr 24, 2001
WWW Link. BibRef 0104
And: US_Patent6,356,659, Mar 12, 2002
WWW Link. BibRef
And: US_Patent6,563,950, May 13, 2003
WWW Link. BibRef

Hayes, Jr., C.D.[Carl Douglas], Hayes, L.J.[Lucy Johnson], Johnson, L.Y.[Laura Yelder],
System and method for creating a digitized likeness of persons,
US_Patent5,960,099, Sep 28, 1999
WWW Link. BibRef 9909

Ptzsch, M.[Michael], Krger, N.[Norbert], von der Malsburg, C.[Christoph],
Procedure for automatic analysis of images and image sequences based on two-dimensional shape primitives,
US_Patent6,466,695, Oct 15, 2002
WWW Link. BibRef 0210

Wiskott, L.[Laurenz], Fellous, J.M.[Jean-Marc], Krüger, N.[Norbert], von der Malsburg, C.[Christoph],
Face Recognition by Elastic Bunch Graph Matching,
PAMI(19), No. 7, July 1997, pp. 775-779.
IEEE DOI 9708
BibRef
And: CAIP97(456-463).
Springer DOI 9709
BibRef
And: ICIP97(I: 129-132).
IEEE DOI BibRef
Earlier: TRCNL, Salk Institute, San Diego. Abstract:
HTML Version. USA/CA-site:
PS File. Germany:
PS File.
See also Algorithm for the Learning of Weights in Discrimination Functions Using a Priori Constraints, An. One of 2 algorithms that achieved goals of minimally constrained matching in the Feret tests. BibRef

Wiskott, L.[Laurenz],
The role of topographical constraints in face recognition,
PRL(20), No. 1, January 1999, pp. 89-96. BibRef 9901

Duc, B., Fischer, S., Bigün, J.,
Face Authentication with Gabor Information on Deformable Graphs,
IP(8), No. 4, April 1999, pp. 504-516.
IEEE DOI BibRef 9904

Craw, I., Costen, N.P., Kato, T., Akamatsu, S.,
How Should We Represent Faces for Automatic Recognition?,
PAMI(21), No. 8, August 1999, pp. 725-736.
IEEE DOI PCA fits the results here. BibRef 9908

Costen, N.P., Craw, I., Robertson, G., Akamatsu, S.,
Automatic Face Recognition: What Representation?,
ECCV96(I:504-513).
Springer DOI Eigenface coding with manually coded landmarks wi more effective than correctly shaped faces. BibRef 9600

Craw, I.[Ian], Cameron, P.[Peter],
Face Recognition by Computer,
BMVC92(xx-yy).
PDF File. 9209
BibRef
Earlier:
Parameterising Images for Recognition and Reconstruction,
BMVC91(xx-yy).
PDF File. 9109
PCA for faces BibRef

Costen, N.P., Craw, I., Kato, T., Robertson, G., Akamatsu, S.,
Manifold caricatures: on the psychological consistency of computer face recognition,
AFGR96(4-9).
IEEE DOI 9610
BibRef

Kotropoulos, C.[Constantine], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Frontal Face Authentication Using Morphological Elastic Graph Matching,
IP(9), No. 4, April 2000, pp. 555-560.
IEEE DOI 0004
BibRef

Kotropoulos, C.[Constantine], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions,
PR(33), No. 12, December 2000, pp. 1935-1947.
Elsevier DOI 0008
BibRef

Tefas, A.[Anastasios], Kotropoulos, C.[Constantine], Pitas, I.[Ioannis],
Face verification using elastic graph matching based on morphological signal decomposition,
SP(82), No. 6, June 2002, pp. 833-851.
HTML Version. 0206
BibRef
Earlier:
Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication,
CVPR98(814-819).
IEEE DOI BibRef
Earlier:
Face Verification based on Morphological Shape Decomposition,
AFGR98(36-41).
IEEE DOI BibRef
And: A2, A1, A3:
Frontal face authentication using variants of dynamic link matching based on mathematical morphology,
ICIP98(I: 122-126).
IEEE DOI 9810

See also Morphological Shape Decomposition. BibRef

Zafeiriou, S.P.[Stefanos P.], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
The discriminant elastic graph matching algorithm applied to frontal face verification,
PR(40), No. 10, October 2007, pp. 2798-2810.
Elsevier DOI 0707
Elastic graph matching; Discriminant analysis; Frontal face verification BibRef

Zafeiriou, S.P.[Stefanos P.], Petrou, M.[Maria],
2.5D Elastic graph matching,
CVIU(115), No. 7, July 2011, pp. 1062-1072.
Elsevier DOI 1106
Elastic graph matching; 3D face recognition; Multiscale mathematical morphology; Geodesic distances BibRef

Zafeiriou, S.P.[Stefanos P.], Petrou, M.[Maria], Argyriou, V.[Vasileios],
2.5D Elastic Graph Matching algorithms,
3DRR09(703-710).
IEEE DOI 0910
For face recognition. Use 3D face models. BibRef

Zafeiriou, S.P., Tefas, A., Pitas, I.,
Exploiting Discriminant Information in Elastic Graph Matching,
ICIP05(III: 768-771).
IEEE DOI 0512
BibRef

Zafeiriou, S.P., Pitas, I.,
Discriminant Graph Structures for Facial Expression Recognition,
MultMed(10), No. 8, December 2008, pp. 1528-1540.
IEEE DOI 0905
BibRef

Stamou, G.N., Nikolaidis, N., Pitas, I.,
Object Tracking Based on Morphological Elastic Graph Matching,
ICIP05(I: 709-712).
IEEE DOI 0512
BibRef

Tefas, A.[Anastasios], Kotropoulos, C.[Constantine], Pitas, I.[Ioannis],
Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication,
PAMI(23), No. 7, July 2001, pp. 735-746.
IEEE DOI 0108
BibRef
Earlier:
Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching,
ICIP00(Vol I: 29-32).
IEEE DOI 0008
BibRef

Kyperountas, M.[Marios], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Dynamic training using multistage clustering for face recognition,
PR(41), No. 3, March 2008, pp. 894-905.
Elsevier DOI 0711
BibRef
And:
Face recognition via adaptive discriminant clustering,
ICIP08(2744-2747).
IEEE DOI 0810
BibRef
Earlier:
Face Verification using Locally Linear Discriminant Models,
ICIP07(IV: 469-472).
IEEE DOI 0709
Face recognition; Dynamic training; Multilevel clustering; Discriminant analysis
See also Salient feature and reliable classifier selection for facial expression classification. BibRef

Goudelis, G.[Georgios], Zafeiriou, S.P.[Stefanos P.], Tefas, A.[Anastasios], Nikolaidis, N.[Nikos], Pitas, I.[Ioannis],
Motivating class-specific nonlinear projections for single and multiple view face verification,
ICIP08(2752-2755).
IEEE DOI 0810
BibRef
Earlier: A1, A2, A3, A5, Only:
A Novel Kernel Discriminant Analysis for Face Verification,
ICIP07(IV: 493-496).
IEEE DOI 0709

See also distributed framework for trimmed Kernel k-Means clustering, A. BibRef

Ramasubramanian, D., Venkatesh, Y.V.,
Encoding and recognition of faces based on the human visual model and DCT,
PR(34), No. 12, December 2001, pp. 2447-2458.
Elsevier DOI 0110
BibRef

Ping, Z.[Zhang], Lihui, C.[Chen],
Document filters using morphological and geometrical features of characters,
IVC(19), No. 12, October 2001, pp. 847-855.
Elsevier DOI 0110
BibRef

Gao, Y.S.[Yong-Sheng], Leung, M.K.H.[Maylor K.H.],
Face Recognition Using Line Edge Map,
PAMI(24), No. 6, June 2002, pp. 764-779.
IEEE DOI 0206
Code the face with a line image (linked edges). Also has a line segment distance measure. BibRef

Yu, X.[Xun], Gao, Y.S.[Yong-Sheng], Zhou, J.[Jun],
Boosting Radial Strings for 3D Face Recognition with Expressions and Occlusions,
DICTA16(1-6)
IEEE DOI 1701
BibRef
Earlier:
Face Recognition Using 3D Directional Corner Points,
ICPR14(2802-2807)
IEEE DOI 1412
BibRef
Earlier:
A 3D Polygonal Line Chains Matching Method for Face Recognition,
DICTA13(1-6)
IEEE DOI 1402
Classification algorithms. Cost function. computational geometry BibRef

Hwang, B.W.[Bon-Woo], Lee, S.W.[Seong-Whan],
Reconstruction of partially damaged face images based on a morphable face model,
PAMI(25), No. 3, March 2003, pp. 365-372.
IEEE DOI 0301
BibRef
Earlier:
Face Reconstruction from Partial Information Based on a Morphable Face Model,
BMCV02(501 ff.).
Springer DOI 0303
BibRef
And:
Face reconstruction with a morphable face model,
ICPR02(II: 366-369).
IEEE DOI 0211
Damaged in the title really means partially obscured or incomplete. Model face by linear combination of shape and texture computed from undamaged regions only. Estimate optimal coefficients. BibRef

Liu, Y.X.[Yan-Xi], Schmidt, K.L.[Karen L.], Cohn, J.F.[Jeffrey F.], Mitra, S.J.[Sin-Jini],
Facial asymmetry quantification for expression invariant human identification,
CVIU(91), No. 1-2, July-August 2003, pp. 138-159.
Elsevier DOI 0309
BibRef
Earlier: A1, A2, A3, Different A4: Weaver, R.L., AFGR02(198-204).
IEEE DOI
HTML Version.
HTML Version. 0206
BibRef

Juefei-Xu, F.[Felix], Savvides, M.[Marios],
Facial Ethnic Appearance Synthesis,
SoftBio14(825-840).
Springer DOI 1504
BibRef

Juefei-Xu, F.[Felix], Savvides, M.[Marios],
An Augmented Linear Discriminant Analysis Approach for Identifying Identical Twins with the Aid of Facial Asymmetry Features,
Biometrics13(56-63)
IEEE DOI 1309
BibRef

Mitra, S.J.[Sin-Jini], Savvides, M.[Marios], Vijaya Kumar, B.V.K.,
Facial Asymmetry: A New Robust Biometric in the Frequency Domain,
ICIAR05(1065-1072).
Springer DOI 0509
BibRef
And:
A One Bit Facial Asymmetry Code (FAC) in Fourier Domain for Human Recognition,
AVBPA05(61).
Springer DOI 0509
BibRef

Mitra, S.J.[Sin-Jini], Savvides, M.[Marios],
Using Feature Combination and Statistical Resampling for Accurate Face Recognition Based on Frequency Domain Representation of Facial Asymmetry,
FGR06(31-36).
IEEE DOI 0604
BibRef

Liu, Y., Weaver, R.L., Schmidt, K.L., Serban, N., Cohn, J.F.,
Facial Asymmetry: A New Biometric,
CMU-RI-TR-01-23, August, 2001.
PDF File.
PS File. 0205
BibRef

Mitra, S., Liu, Y.X.[Yan-Xi],
Local facial asymmetry for expression classification,
CVPR04(II: 889-894).
IEEE DOI 0408
BibRef

Liu, Y., Mitra, S.,
Human Identification versus Expression Classification via Bagging on Facial Asymmetry,
CMU-RI-TR-03-08, April, 2003.
HTML Version. 0306
BibRef

Vetter, T.,
Synthesis of Novel Views from a Single Face Image,
IJCV(28), No. 2, June/July 1998, pp. 103-116.
DOI Link Face Analysis. 9808
BibRef
Earlier:
Learning novel views to a single face image,
AFGR96(22-27).
IEEE DOI 9610
BibRef

Vetter, T.,
Learning the Appearance of Faces: A Morphable Model for the Analysis and Synthesis of Images,
RATFG99(xx-yy). BibRef 9900

Vetter, T., Troje, N.F.,
Separation of Texture and Shape in Images of Faces for Image-Coding and Synthesis,
JOSA-A(14), No. 9, September 1997, pp. 2152-2161. 9709
BibRef

Vetter, T., Poggio, T.,
Linear Object Classes and Image Synthesis from a Single Example Image,
PAMI(19), No. 7, July 1997, pp. 733-742.
IEEE DOI 9708
BibRef
Earlier: MIT AI Memo-1531, 1995.
WWW Link. BibRef
And:
Image Synthesis from a Single Example Image,
ECCV96(I:652-659).
Springer DOI BibRef
Earlier: A2, A1:
Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries,
MIT AI Memo-1347, 1992.
WWW Link. Generation of realistic images from different viewpoints given only one input image. BibRef

Blanz, V.[Volker], Vetter, T.[Thomas],
Face recognition based on fitting a 3D morphable model,
PAMI(25), No. 9, September 2003, pp. 1063-1074.
IEEE Abstract. 0309
BibRef
Earlier:
A morphable model for the synthesis of 3-D Faces,
SIGGraph-99(187-194).
DOI Link BibRef
Earlier: A2, A1:
Estimating Coloured 3-D Face Models from Single Images: An Example-Based Approach,
ECCV98(II: 499).
Springer DOI Simulate image formation process, estimage 3D shape and texture. Fit a morphable model of 3D faces to the image. BibRef

Blanz, V.[Volker], Vetter, T.[Thomas],
Method and apparatus for the processing of images,
US_Patent6,556,196, Apr 29, 2003
WWW Link. BibRef 0304

Blanz, V.[Volker], Scherbaum, K.[Kristina], Seidel, H.P.[Hans-Peter],
Fitting a Morphable Model to 3D Scans of Faces,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Blanz, V.[Volker],
Face Recognition based on a 3D Morphable Model,
FGR06(617-624).
IEEE DOI 0604
BibRef

Paysan, P.[Pascal], Knothe, R.[Reinhard], Amberg, B.[Brian], Romdhani, S.[Sami], Vetter, T.[Thomas],
A 3D Face Model for Pose and Illumination Invariant Face Recognition,
AVSBS09(296-301).
IEEE DOI 0909
BibRef

Basso, C., Paysan, P., Vetter, T.,
Registration of Expressions Data using a 3D Morphable Model,
FGR06(205-210).
IEEE DOI 0604
BibRef

Basso, C., Vetter, T., Blanz, V.,
Regularized 3D morphable models,
HLK03(3-10).
IEEE Abstract. 0402
BibRef

Romdhani, S., Ho, J., Vetter, T., Kriegman, D.J.,
Face Recognition Using 3-D Models: Pose and Illumination,
PIEEE(94), No. 11, November 2006, pp. 1977-1999.
IEEE DOI 0611
BibRef

Blanz, V., Romdhani, S., Vetter, T.,
Face identification across different poses and illuminations with a 3D morphable model,
AFGR02(192-197).
IEEE DOI 0206
BibRef
And: A2, A1, A3:
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions,
ECCV02(IV: 3 ff.).
Springer DOI 0205
BibRef

Amberg, B.[Brian], Knothe, R.[Reinhard], Vetter, T.[Thomas],
Expression invariant 3D face recognition with a Morphable Model,
FG08(1-6).
IEEE DOI 0809
BibRef

Weyrauch, B., Heisele, B.[Bernd], Huang, J.[Jennifer], Blanz, V.[Volker],
Component-Based Face Recognition with 3D Morphable Models,
FaceVideo04(85).
IEEE DOI 0502
BibRef
Earlier: A3, A2, A4 only: AVBPA03(27-34).
Springer DOI 0310
BibRef

Huang, J.[Jian], Yuen, P.C.[Pong C.], Chen, W.S.[Wen-Sheng], Lai, J.H.,
Component-based LDA method for face recognition with one training sample,
AMFG03(120-126).
IEEE DOI 0311
BibRef

Wen, Z.[Zhen], Huang, T.S.,
3D Face Processing: Modeling, Analysis and Synthesis,
Kluwer2004. International Series in Video Computing, Vol. 8. ISBN: 1-4020-8047-6
HTML Version. Buy this book: 3D Face Processing: Modeling, Analysis and Synthesis (KLUWER INTERNATIONAL SERIES IN VIDEO COMPUTING) BibRef 0400

Zhang, C.S.[Chang-Shui], Wang, J.[Jun], Zhao, N.Y.[Nan-Yuan], Zhang, D.[David],
Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction,
PR(37), No. 2, February 2004, pp. 325-336.
Elsevier DOI 0311
BibRef

Hsu, R.L.[Rein-Lien], Jain, A.K.[Anil K.],
Generating discriminating cartoon faces using interacting snakes,
PAMI(25), No. 11, November 2003, pp. 1388-1398.
IEEE Abstract. 0311
BibRef
Earlier:
Face Modeling for Recognition,
ICIP01(II: 693-696).
IEEE DOI 0108
Generat cartool like descriptions using constrained active contour models for the parts. Interaction among multiple snakes in the face model. BibRef

Yu, W.W.[Wei-Wei], Teng, X.L.[Xiao-Long], Liu, C.Q.[Chong-Qing],
Face recognition using discriminant locality preserving projections,
IVC(24), No. 3, 1 March 2006, pp. 239-248.
Elsevier DOI Face recognition; Difference model; Locality preserving projections; Discriminant locality preserving projections 0604
BibRef
Earlier:
Discriminant Locality Preserving Projections: A New Method to Face Representation and Recognition,
PETS05(201-207).
IEEE DOI 0602
BibRef

Yu, W.W.[Wei-Wei],
Two-dimensional discriminant locality preserving projections for face recognition,
PRL(30), No. 15, 1 November 2009, pp. 1378-1383.
Elsevier DOI 0910
Face recognition; Two-dimensional; Discriminant locality preserving projections; Column projection; Row projection BibRef

Zhang, L.Y.[Li-Yan], Razdan, A.[Anshuman], Farin, G.E.[Gerald E.], Femiani, J.[John], Bae, M.S.[Myung-Soo], Lockwood, C.[Charles],
3D face authentication and recognition based on bilateral symmetry analysis,
VC(22), No. 1, January 2006, pp. 43-55.
Springer DOI 0601
BibRef

Bae, M., Razdan, A., Farin, G.E.,
Automated 3D Face authentication and recognition,
AVSBS07(45-50).
IEEE DOI 0709
BibRef

Zou, J.[Jie], Nagy, G.[George],
Visible models for interactive pattern recognition,
PRL(28), No. 16, December 2007, pp. 2335-2342.
Elsevier DOI 0711
BibRef
Earlier: A2, A1:
Interactive visual pattern recognition,
ICPR02(II: 478-481).
IEEE DOI 0211
Pattern recognition; Human-computer interaction; Visible model; Face recognition; Flower recognition BibRef

Deng, Y.[Yue], Dai, Q.H.[Qiong-Hai], Zhang, Z.K.[Zeng-Ke],
Graph Laplace for Occluded Face Completion and Recognition,
IP(20), No. 8, August 2011, pp. 2329-2338.
IEEE DOI 1108
BibRef

Deng, Y.[Yue], Dai, Q.H.[Qiong-Hai], Wang, R.P.[Rui-Ping], Zhang, Z.K.[Zeng-Ke],
Commute time guided transformation for feature extraction,
CVIU(116), No. 4, April 2012, pp. 473-483.
Elsevier DOI 1202
Commute time; Random walk; Manifold learning; Face recognition; Feature extraction BibRef

Liu, W.T.[Wen-Tao], Xie, X.D.[Xu-Dong], Lam, K.M.[Kin-Man],
An efficient method for occluded face recognition,
ICPR12(2993-2996).
WWW Link. 1302
BibRef

Deng, Y.[Yue], Li, D.[Dong], Xie, X.D.[Xu-Dong], Lam, K.M.[Kin-Man], Dai, Q.H.[Qiong-Hai],
Partially occluded face completion and recognition,
ICIP09(4145-4148).
IEEE DOI 0911
BibRef

Kumar, R.[Ritwik], Banerjee, A.[Arunava], Vemuri, B.C.[Baba C.], Pfister, H.[Hanspeter],
Trainable Convolution Filters and Their Application to Face Recognition,
PAMI(34), No. 7, July 2012, pp. 1423-1436.
IEEE DOI 1205
BibRef
Earlier:
Maximizing all margins: Pushing face recognition with Kernel Plurality,
ICCV11(2375-2382).
IEEE DOI 1201
Better results if patches used rather than whole image, weighted plurality that maximizes the margin for the winner. Volterra kernel classifiers.
See also Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines. Comments:
See also Fair Comparison Should Be Based on the Same Protocol: Comments on Trainable Convolution Filters and Their Application to Face Recognition, A. BibRef

Shim, H.,
Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image,
IP(21), No. 8, August 2012, pp. 3784-3793.
IEEE DOI 1208
BibRef

Çeliktutan, O.[Oya], Ulukaya, S.[Sezer], Sankur, B.[Bülent],
A Comparative Study of Face Landmarking Techniques,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1303
BibRef

Andres, A.M.[Ariel Morelli], Padovani, S.[Sebastian], Tepper, M.[Mariano], Jacobo-Berlles, J.[Julio],
Face recognition on partially occluded images using compressed sensing,
PRL(36), No. 1, 2014, pp. 235-242.
Elsevier DOI 1312
Face recognition BibRef

Andres, A.M.[Ariel Morelli], Padovani, S.[Sebastian], Tepper, M.[Mariano], Mejail, M.[Marta], Jacobo-Berlles, J.[Julio],
Randomized Face Recognition on Partially Occluded Images,
CIARP12(90-97).
Springer DOI 1209
BibRef

Chen, L.[Liang],
A Fair Comparison Should Be Based on the Same Protocol: Comments on 'Trainable Convolution Filters and Their Application to Face Recognition',
PAMI(36), No. 3, March 2014, pp. 622-623.
IEEE DOI 1403

See also Trainable Convolution Filters and Their Application to Face Recognition. convolution BibRef

Chen, J.S.[Jian-Sheng], Yang, C.[Chang], Deng, Y.[Yu], Zhang, G.[Gang], Su, G.D.[Guang-Da],
Exploring Facial Asymmetry Using Optical Flow,
SPLetters(21), No. 7, July 2014, pp. 792-795.
IEEE DOI 1405
face recognition BibRef

Peng, X.[Xi], Zhang, L.[Lei], Yi, Z.[Zhang], Tan, K.K.[Kok Kiong],
Learning locality-constrained collaborative representation for robust face recognition,
PR(47), No. 9, 2014, pp. 2794-2806.
Elsevier DOI 1406
Non-sparse representation BibRef

Boughrara, H.[Hayet], Chtourou, M., Amar, C.B.[Chokri Ben], Chen, L.M.[Li-Ming],
Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm,
IET-CV(8), No. 6, 2014, pp. 729-739.
DOI Link 1502
face recognition BibRef

Ding, R.X.[Ru-Xi], Huang, H.[He], Shang, J.[Jin],
Patch-based locality-enhanced collaborative representation for face recognition,
IET-IPR(9), No. 3, 2015, pp. 211-217.
DOI Link 1504
face recognition BibRef

Zhang, G.Q.[Guo-Qing], Sun, H.J.[Huai-Jiang], Ji, Z.X.[Ze-Xuan], Yuan, Y.H.[Yun-Hao], Sun, Q.S.[Quan-Sen],
Cost-sensitive dictionary learning for face recognition,
PR(60), No. 1, 2016, pp. 613-629.
Elsevier DOI 1609
Cost sensitive BibRef

Liu, J.X.[Ji-Xin], Han, G.[Guang], Sun, N.[Ning], Li, X.F.[Xiao-Fei], Gong, Z.G.[Zhi-Guo], Sun, Q.S.[Quan-Sen],
Generalized compressed sensing with QR-based vision matrix learning for face recognition under natural scenes,
SP:IC(77), 2019, pp. 11-19.
Elsevier DOI 1906
Generalized compressed sensing, QR-based vision matrix learning, Face recognition BibRef

Ji, H.K.[Hong-Kun], Sun, Q.S.[Quan-Sen], Ji, Z.X.[Ze-Xuan], Yuan, Y.H.[Yun-Hao], Zhang, G.Q.[Guo-Qing],
Collaborative probabilistic labels for face recognition from single sample per person,
PR(62), No. 1, 2017, pp. 125-134.
Elsevier DOI 1609
Face recognition BibRef

Schönborn, S.[Sandro], Egger, B.[Bernhard], Morel-Forster, A.[Andreas], Vetter, T.[Thomas],
Markov Chain Monte Carlo for Automated Face Image Analysis,
IJCV(123), No. 2, June 2017, pp. 160-183.
Springer DOI 1705
BibRef
Earlier: A1, A3, A2, A4:
A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis,
GCPR13(101-110).
Springer DOI 1311
BibRef

Hayat, M.[Munawar], Khan, S.H.[Salman H.], Bennamoun, M.[Mohammed],
Empowering Simple Binary Classifiers for Image Set Based Face Recognition,
IJCV(123), No. 3, July 2017, pp. 479-498.
Springer DOI 1706
BibRef

Wu, C.Y.[Cho Ying], Ding, J.J.[Jian Jiun],
Occluded face recognition using low-rank regression with generalized gradient direction,
PR(80), 2018, pp. 256-268.
Elsevier DOI 1805
Occluded face recognition, Robust sparse representation, Low-rank regression model BibRef

Mi, J.X.[Jian-Xun], Zhu, Q.[Quanwei], Luo, Z.H.[Zhi-Heng],
Matrix regression-based classification with block-norm,
PRL(125), 2019, pp. 654-660.
Elsevier DOI 1909
BibRef
Earlier:
Matrix Regression-Based Classification for Face Recognition,
SSSPR18(357-366).
Springer DOI 1810
Face recognition, Block-norm, Regression BibRef

Lv, C.L.[Chen-Lei], Wu, Z.K.[Zhong-Ke], Wang, X.[Xingce], Dan, Z.[Zhang], Zhou, M.Q.[Ming-Quan],
Ethnicity classification by the 3D Discrete Landmarks Model measure in Kendall shape space,
PRL(129), 2020, pp. 26-32.
Elsevier DOI 2001
Ethnicity classification, Facial Landmark Model, Kendall shape space, BibRef

Li, X., Hu, G., Zhu, J., Zuo, W., Wang, M., Zhang, L.,
Learning Symmetry Consistent Deep CNNs for Face Completion,
IP(29), 2020, pp. 7641-7655.
IEEE DOI 2007
Face completion, reflectional symmetry, convolutional neural networks BibRef

Qiu, H.B.[Hai-Bo], Gong, D.H.[Di-Hong], Li, Z.F.[Zhi-Feng], Liu, W.[Wei], Tao, D.C.[Da-Cheng],
End2End Occluded Face Recognition by Masking Corrupted Features,
PAMI(44), No. 10, October 2022, pp. 6939-6952.
IEEE DOI 2209
Face recognition, Training, Decoding, Feature extraction, Mouth, Image restoration, Detectors, Occluded face recognition, deep convolutional neural network BibRef

Wang, M.J.[Meng-Jiao], Liu, R.J.[Ru-Jie], Hajime, N., Narishige, A., Uchida, H.[Hidetsugu], Matsunami, T.[Tomoaki],
Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model,
LFR19(2655-2661)
IEEE DOI 2004
face recognition, image representation, image resolution, learning (artificial intelligence), knowledge distillation BibRef

Wang, M.J.[Meng-Jiao], Liu, R.J.[Ru-Jie], Abe, N.[Narishige], Uchida, H.[Hidetsugu], Matsunami, T.[Tomoaki], Yamada, S.[Shigefumi],
Discover the Effective Strategy for Face Recognition Model Compression by Improved Knowledge Distillation,
ICIP18(2416-2420)
IEEE DOI 1809
mebedding larger face models is difficult. Face recognition, Computational modeling, Computer architecture, Optimization, Degradation, Training, Mathematical model, Knowledge Distillation BibRef

Tian, Y., Yan, C., Bai, X., Zhou, J.,
Heterogeneous face recognition via grassmannian based nearest subspace search,
ICIP17(1077-1081)
IEEE DOI 1803
Correlation, Covariance matrices, Face, Face recognition, Kernel, Probes, Task analysis, Common Space, Face Recognition, Grassmannian, Subspace BibRef

Smirnov, E., Melnikov, A.[Aleksandr], Novoselov, S., Luckyanets, E.[Eugene], Lavrentyeva, G.,
Doppelganger Mining for Face Representation Learning,
Million17(1916-1923)
IEEE DOI 1802
Face, Face recognition, Prototypes, Sampling methods, Training BibRef

Masi, I., Mathai, J., Adb Almageed, W.[Wael],
Towards Learning Structure via Consensus for Face Segmentation and Parsing,
CVPR20(5507-5517)
IEEE DOI 2008
Face, Semantics, Training, Robustness, Image segmentation, Shape BibRef

Wu, Y.[Yue], Adb Almageed, W.[Wael], Rawls, S.[Stephen], Natarajan, P.[Prem],
Computationally efficient template-based face recognition,
ICPR16(1424-1429)
IEEE DOI 1705
Computational complexity, Computational efficiency, Face, Face recognition, Feature extraction, Indexes, Search, engines BibRef

Hassner, T.[Tal], Masi, I.[Iacopo], Kim, J.Y.[Jung-Yeon], Choi, J.M.[Jong-Moo], Harel, S.[Shai], Natarajan, P.[Prem], Medioni, G.[Gérard],
Pooling Faces: Template Based Face Recognition with Pooled Face Images,
Biometrics16(127-135)
IEEE DOI 1612
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Abd Almageed, W., Wu, Y., Rawls, S., Harel, S., Hassner, T.[Tal], Masi, I.[Iacopo], Choi, J., Lekust, J., Kim, J., Natarajan, P., Nevatia, R., Medioni, G.,
Face recognition using deep multi-pose representations,
WACV16(1-9)
IEEE DOI 1606
Face BibRef

Li, W.J.[Wen-Jing], Liang, J.Z.[Jiu-Zhen], Wu, Q.[Qin], Zhou, Y.X.[Yu-Xuan], Xu, X.X.[Xiu-Xiu], Wang, N.B.[Nian-Bing], Zhou, Q.[Qi],
An efficient face classification method based on shared and class-specific dictionary learning,
ICIP15(2596-2600)
IEEE DOI 1512
class-specific dictionary BibRef

Pathak, D., Satyavolu, S.N., Namboodiri, V.P.,
Where is my friend? Person identification in social networks,
FG15(1-8)
IEEE DOI 1508
computer vision BibRef

Hanselmann, H., Ney, H.,
Optimizing Energies for Pose-Invariant Face Recognition,
ICPR18(3463-3468)
IEEE DOI 1812
BibRef
Earlier:
Speeding up 2D-warping for pose-invariant face recognition,
FG15(1-7)
IEEE DOI 1508
Face recognition, Approximation algorithms, Dynamic programming, Face, Message passing. BibRef

Sukno, F.M., Rojas, M.A., Waddington, J.L., Whelan, P.F.,
On the quantitative analysis of craniofacial asymmetry in 3D,
FG15(1-8)
IEEE DOI 1508
computer vision BibRef

Hanmandlu, M., Gupta, D., Vasikarla, S.,
Face recognition using Elastic bunch graph matching,
AIPR13(1-7)
IEEE DOI 1408
face recognition BibRef

Seo, J.[Jeongin], Park, H.[Hyeyoung],
Reliable face recognition using feature selection and image rejection based on probabilistic face model,
IVCNZ13(31-34)
IEEE DOI 1402
face recognition BibRef

Xu, H.T.[Hong-Teng], Zha, H.Y.[Hong-Yuan], Davenport, M.A.[Mark A],
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples,
CVPR14(3019-3026)
IEEE DOI 1409
Curvature; Dynamic Texture Synthesis; Few Samples; Manifold Learning BibRef

Xu, H.T.[Hong-Teng], Zha, H.Y.[Hong-Yuan],
Manifold Based Face Synthesis from Sparse Samples,
ICCV13(2208-2215)
IEEE DOI 1403
face synthesis; manifold; sparse samples; transfer learning BibRef

Lu, C.C.[Chao-Chao], Tang, X.[Xiaoou],
Learning the Face Prior for Bayesian Face Recognition,
ECCV14(IV: 119-134).
Springer DOI 1408
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Lu, C.C.[Chao-Chao], Zhao, D.L.[De-Li], Tang, X.[Xiaoou],
Face Recognition Using Face Patch Networks,
ICCV13(3288-3295)
IEEE DOI 1403
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Xiong, Y.J.[Yuan-Jun], Liu, W.[Wei], Zhao, D.L.[De-Li], Tang, X.[Xiaoou],
Face Recognition via Archetype Hull Ranking,
ICCV13(585-592)
IEEE DOI 1403
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ICPR12(1582-1585).
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Springer DOI 1310
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Li, F.Y.[Fa-Yin], Wechsler, H., Tistarelli, M.,
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ICARCV08(434-439).
IEEE DOI 1109
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Li, X.[Xi], Takahashi, T.[Tomokazu], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi],
Cross-Pose Face Recognition: A Virtual View Generation Approach Using Clustering Based LVTM,
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Virtual View Generation Using Clustering Based Local View Transition Model,
FaceCVHum12(II:260-271).
Springer DOI 1304
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Kono, Y.[Yuki], Takahashi, T.[Tomokazu], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi],
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VS10(175-183).
Springer DOI 1109
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Dikmen, M.[Mert], Huang, T.S.[Thomas S.],
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CNWASA11(68-73).
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AIPR09(1-8).
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ICPR10(1505-1508).
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Conformal mapping-based 3D face recognition,
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Hurych, D.[David], Svoboda, T.[Tomas], Trojanova, J.[Jana], Yadhunandan, U.S.,
Active Shape Model and linear predictors for face association refinement,
VS09(1193-1200).
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Deboeverie, F.[Francis], Veelaert, P.[Peter], Philips, W.[Wilfried],
Face Analysis Using Curve Edge Maps,
CIAP11(II: 109-118).
Springer DOI 1109
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Mottl, V., Kopylov, A., Kittler, J.V., Kostin, A., Yermakov, A.,
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IEEE DOI 0210
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Recognition Using Three-Dimensional Models, 3-D Models .