13.4.1.8 Faces using Invariants -- Eigenfaces

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Earlier:
Face Recognition Using Eigenfaces,
CVPR91(586-591).
IEEE Abstract. IEEE Top Reference. Application, Faces. Face Recognition. Recognition of faces from eigen value like decomposition of the description. BibRef

Turk, M.[Matthew],
Why Eigenfaces (don't) Work,
RATFG01(xx-yy). 0106 BibRef

Bichsel, M., and Pentland, A.P.,
Human Face Recognition and Face Image Set's Topology,
CVGIP(59), No. 2, March 1994, pp. 254-261.
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Bichsel, M.,
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Nastar, C., Moghaddam, B., Pentland, A.P.,
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Earlier:
Generalized Image Matching: Statistical Learning of Physically-Based Deformations,
ECCV96(I:589-598).
WWW Version. BibRef

Moghaddam, B.[Baback], Pentland, A.P.[Alex P.],
Probabilistic Visual Learning For Object Representation,
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IEEE Abstract. IEEE Top Reference.
WWW Version. 9708 Face Recognition. BibRef
Earlier: EVL96(99-130). BibRef
Earlier:
Probabilistic Visual Learning for Object Detection,
ICCV95(786-793).
WWW Version.
WWW Version. Density esitmation in high dimensional spaces using an eigenspace approach. Face representations, eigen faces. Also for reproducing aligned faces. BibRef

Moghaddam, B.[Baback], Jebara, T.[Tony], Pentland, A.P.[Alex P.],
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WWW Version. 0011 BibRef
Earlier:
Efficient MAP/ML Similarity Matching for Visual Recognition,
ICPR98(Vol I: 876-881).
WWW Version. 9808 Face Recognition. BibRef

Moghaddam, B.[Baback], Nastar, C.[Chahab], Pentland, A.P.,
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WWW Version. 0102 BibRef
Earlier:
Bayesian face recognition with deformable image models,
CIAP01(26-35).
IEEE Top Reference. 0210 BibRef
Earlier:
A Bayesian Similarity Measure for Direct Image Matching,
ICPR96(II: 350-358).
WWW Version. 9608(MIT, USA) BibRef

Moghaddam, B.[Baback], Pentland, A.P.[Alex P.], Nastar, C.[Chahab],
Bayesian Face Recognition Using Deformable Intensity Surfaces,
CVPR96(638-645).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9600

Nastar, C., Pentland, A.P.,
Matching and Recognition Using Deformable Intensity Surfaces,
SCV95(223-228).
IEEE Top Reference. M.I.T. Face recognition, warp the test onto the model and measure the strain. BibRef 9500

Pentland, A.P., Moghaddam, B., Starner, T.E.,
View-Based and Modular Eigenspaces for Face Recognition,
CVPR94(84-91).
IEEE Abstract. IEEE Top Reference. BibRef 9400
Earlier: Vismod-245, 1993.
HTML Version. and
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Moghaddam, B., Pentland, A.P.,
Face Recognition Using View-Based and Modular Eigenspaces,
Vismod-301, 1994.
HTML Version. and
Postscript Version. BibRef 9400

Moghaddam, B.[Baback], Pentland, A.P.[Alex P.],
An Automatic System for Model-Based Coding of Faces,
Vismod317, 1995.
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Pentland, A.P.[Alex P.],
Extraction of deformable part models,
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WWW Version. 9004 BibRef

Moghaddam, B.[Baback],
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PAMI(24), No. 6, June 2002, pp. 780-788.
IEEE Abstract. IEEE Top Reference.
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Earlier:
Principal Manifolds and Bayesian Subspaces for Visual Recognition,
ICCV99(1131-1136).
WWW Version. Examine PCA, ICA and KPCA with FERET database. Bayesian subspace method is best. BibRef

Kirby, M., and Sirovich, L.,
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces,
PAMI(12), No. 1, January 1990, pp. 103-108.
IEEE Abstract. IEEE Top Reference.
WWW Version. Application, Faces. BibRef 9001

Sirovich, L., and Kirby, M.,
Low Dimensional Procedure for the Characterization of Human Faces,
JOSA-A(4), No. 3, 1987, pp. 519-524. BibRef 8700

Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.,
Eigenfaces vs. Fisherfaces: Recognition Using Class-Specific Linear Projection,
PAMI(19), No. 7, July 1997, pp. 711-720.
IEEE Abstract. IEEE Top Reference.
WWW Version.
PDF Version. 9708 BibRef
Earlier: ECCV96(I:43-58).
WWW Version.
Postscript Version. Rather than using eigen space, use the Fisher discriminant, claims to give better results. Insensitive to large changes in illumination. BibRef

Yilmaz, A.[Alper], Gökmen, M.[Muhittin],
Eigenhill vs. Eigenface and Eigenedge,
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WWW Version. 0010 BibRef
Earlier: ICPR00(Vol II: 827-830).
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HTML Version. 0009 BibRef

Kim, H.C.[Hyun-Chul], Kim, D.J.[Dai-Jin], Bang, S.Y.[Sung Yang],
Face recognition using the mixture-of-eigenfaces method,
PRL(23), No. 13, November 2002, pp. 1549-1558.
HTML Version. 0206 See also numeral character recognition using the PCA mixture model, A. See also background robust active appearance model using active contour technique, A. BibRef

Kim, H.C.[Hyun-Chul], Kim, D.J.[Dai-Jin], Bang, S.Y.[Sung Yang],
Face recognition using LDA mixture model,
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WWW Version. 0211 See also efficient model order selection for PCA mixture model, An. BibRef

Kim, M.S.[Min-Sub], Kim, D.J.[Dai-Jin], Lee, S.Y.[Sang-Youn],
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PR(36), No. 11, November 2003, pp. 2723-2735.
WWW Version. 0309 BibRef

Kim, H.C.[Hyun-Chul], Kim, D.J.[Dai-Jin], Bang, S.Y.[Sung Yang], Lee, S.Y.[Sang-Youn],
Face recognition using the second-order mixture-of-eigenfaces method,
PR(37), No. 2, February 2004, pp. 337-349.
WWW Version. 0311 BibRef

Tian, Y.[Yuan], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong], Fang, Y.C.[Yu-Chun],
Do singular values contain adequate information for face recognition?,
PR(36), No. 3, March 2003, pp. 649-655.
WWW Version. 0301 BibRef

Liu, L.[Liang], Wang, Y.H.[Yun-Hong], Wang, Q.[Qian], Tan, T.N.[Tie-Niu],
Fast Principal Component Analysis using Eigenspace Merging,
ICIP07(VI: 457-460).
WWW Version. 0709 BibRef

Tsalakanidou, F., Tzovaras, D., Strintzis, M.G.,
Use of depth and colour eigenfaces for face recognition,
PRL(24), No. 9-10, June 2003, pp. 1427-1435.
WWW Version. 0304 See also Use of Nonlinear Principal Component Analysis and Vector Quantization for Image Coding. BibRef

Gunturk, B.K., Batur, A.U., Altunbasak, Y., Hayes, III, M.H., Mersereau, R.M.,
Eigenface-domain super-resolution for face recognition,
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Eigenface-based super-resolution for face recognition,
ICIP02(II: 845-848).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Batur, A.U.[Aziz Umit], and Hayes, III, M.H.[Monson H.],
Segmented Linear Subspaces for Illumination-Robust Face Recognition,
IJCV(57), No. 1, April 2004, pp. 49-66.
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Earlier:
Linear Subspaces for Illumination Robust Face Recognition,
CVPR01(II:296-301).
IEEE Abstract. IEEE Top Reference. 0110 BibRef

Liu, X.M.[Xiao-Ming], Chen, T.H.[Tsu-Han], Thornton, S.M.[Susan M.],
Eigenspace updating for non-stationary process and its application to face recognition,
PR(36), No. 9, September 2003, pp. 1945-1959.
WWW Version. 0307 BibRef

Shan, S.G.[Shi-Guang], Gao, W.[Wen], Zhao, D.[Debin],
Face recognition based on face-specific subspace,
IJIST(13), No. 1, 2003, pp. 23-32.
WWW Version. 0308 BibRef

Qing, L.[Laiyun], Shan, S.G.[Shi-Guang], Gao, W.[Wen],
Eigen-harmonics faces: face recognition under generic lighting,
AFGR04(296-301).
IEEE Abstract. IEEE Top Reference. 0411 BibRef

Yang, J.[Jian], Yang, J.Y.[Jing-Yu], Frangi, A.F.[Alejandro F.],
Combined Fisherfaces framework,
IVC(21), No. 12, November 2003, pp. 1037-1044.
WWW Version. 0310 BibRef

Seow, M.J.[Ming-Jung], Tompkins, R.C., Asari, V.K.,
A New Nonlinear Dimensionality Reduction Technique for Pose and Lighting Invariant Face Recognition,
FRGC05(III: 160-160).
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Gross, R.[Ralph], Matthews, I.[Iain], and Baker, S.[Simon],
Appearance-based face recognition and light-fields,
PAMI(26), No. 4, April 2004, pp. 449-465.
IEEE Abstract. IEEE Top Reference.
HTML Version. 0403 BibRef
And: CMR-RI-TR-02-20. August 2002.
HTML Version. BibRef
Earlier:
Eigen light-fields and face recognition across pose,
AFGR02(1-7).
WWW Version.
HTML Version. 0206 BibRef
And:
Fisher Light-Fields for Face Recognition across Pose and Illumination,
DAGM02(481 ff.).
HTML Version.
HTML Version. 0303Light-field is the set of all radiance values (i.e. emitted from the object) over all rays in space. Use all available images, and use all pixels equally. BibRef

Gross, R.[Ralph], Baker, S.[Simon], Matthews, I.[Iain], and Kanade, T.[Takeo],
Face Recognition Across Pose and Illumination,
HFace04(xx-yy).
HTML Version. BibRef 0400

Toygar, .[Önsen], Acan, A.[Adnan],
Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition,
PRL(25), No. 12, September 2004, pp. 1421-1430.
WWW Version. 0409 BibRef

Chen, L.[Ling], Man, H.[Hong], Nefian, A.V.[Ara V.],
Face recognition based on multi-class mapping of Fisher scores,
PR(38), No. 6, June 2005, pp. 799-811.
WWW Version. 0501 BibRef

Xiong, H.[Huilin], Swamy, M.N.S., Ahmad, M.O.,
Two-dimensional FLD for face recognition,
PR(38), No. 7, July 2005, pp. 1121-1124.
WWW Version. 0505 BibRef

Franco, A.[Annalisa], Lumini, A.[Alessandra], Maio, D.[Dario], Nanni, L.[Loris],
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WWW Version. 0512 BibRef
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WWW Version. 0211 BibRef

Nanni, L.[Loris], Lumini, A.[Alessandra],
RegionBoost learning for 2D+3D based face recognition,
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WWW Version. 0711Face recognition; Machine learning; Classification See also multi-expert approach for wavelet-based face detection, A. See also clustering method for automatic biometric template selection, A. BibRef

Zhang, L.[Lei], Samaras, D.[Dimitris],
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics,
PAMI(28), No. 3, March 2006, pp. 351-363.
WWW Version. 0602 BibRef
Earlier:
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics,
BioAW04(10-23).
WWW Version. 0505 BibRef
Earlier:
Face recognition under variable lighting using harmonic image exemplars,
CVPR03(I: 19-25).
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Wang, S.[Sen], Zhang, L.[Lei], Samaras, D.[Dimitris],
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WWW Version. 0509 BibRef

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Alvarado, G.J.[Gabriel Jarillo], Pedrycz, W.[Witold], Reformat, M., Kwak, K.C.[Keun-Chang],
Deterioration of visual information in face classification using Eigenfaces and Fisherfaces,
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Zhao, H.T.[Hai-Tao], Sun, S.Y.[Shao-Yuan], Jing, Z.L.[Zhong-Liang], Yang, J.Y.[Jing-Yu],
Local structure based supervised feature extraction,
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WWW Version. 0606Locally discriminating projection (LDP) utilizes class information to guide the procedure of feature extraction. Feature extraction; Supervised learning; Locality preserving projection BibRef

Chen, T.[Terrence], Yin, W.T.[Wo-Tao], Zhou, X.S.[Xiang Sean], Comaniciu, D.[Dorin], Huang, T.S.[Thomas S.],
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WWW Version. 0608 BibRef
Earlier:
Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models,
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WWW Version. 0507 BibRef

Wen, Z.[Zhen], Huang, T.S., Liu, Z.C.[Zi-Cheng],
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Cai, D.[Deng], He, X.F.[Xiao-Fei], Han, J., Zhang, H.J.[Hong-Jiang],
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Sun, X.[Xichen], Wang, L.W.[Li-Wei], Feng, J.[Jufu],
Further results on the subspace distance,
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Kim, C.[Chunghoon], Choi, C.H.[Chong-Ho],
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WWW Version. 0702Face recognition; Subspace method; Image covariance matrix; Windowed feature; Principal component analysis; Linear discriminant analysis BibRef

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Yeung, D.Y.[Dit-Yan], Chang, H.[Hong], Dai, G.[Guang],
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Xu, D.[Dong], Lin, S.[Stephen], Yan, S.C.[Shui-Cheng], Tang, X.[Xiaoou],
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
ICA, PCA in Face Recognition .