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Abstract: We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a high-dimensional space. We takeadvantage of the observation that the images of a particular face, under varying illumination but fixed pose, lie in a 3-D linear subspace of the high dimensional image space -- if the face is a Lambertian surface without shadowing.... (Update)
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BibTeX entry: (Update)
Belhumeur N., Hespanha J. and Kriegman D., `Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection', Proc. ECCV, 45--58, 1996. http://citeseer.ist.psu.edu/belhumeur97eigenfaces.html More
@article{ belhumeur97eigenfaces,
author = "Peter N. Belhumeur and Joao Hespanha and David J. Kriegman",
title = "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
volume = "19",
number = "7",
pages = "711-720",
year = "1997",
url = "citeseer.ist.psu.edu/belhumeur97eigenfaces.html" }
Citations (may not include all citations):2133 Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
495 Eigenfaces for recognition (context) - Turk, Pentland - 1991
338 View-based and modular eigenspaces for face recognition - Pentland, Moghaddam - 1994
238 Human and machine recognition of faces: A survey (context) - Chellappa, Wilson et al. - 1995
223 Face recognition using eigenfaces (context) - Turk, Pentland - 1991
192 Low-dimensional procedure for the characterization of human .. (context) - Sirovitch, Kirby - 1987
150 Probabilistic visual learning for object detection - Pentland - 1995
148 Visual learning and recognition of 3-D objects from appearen.. (context) - Murase, Nayar - 1995
124 Eigenfaces vs. Fisherfaces: Recognition using class specific.. - Belhumeur, Hespanha et al. - 1996
121 Automatic recognition and analysis of human faces and facial.. (context) - Samal, Iyengar - 1992
88 Face recognition: The problem of compensating for changes in.. - Moses, Adini et al. - 1994
76 Face recognition under varying pose - Beymer - 1994
75 What is the set of images of an object under all possible li.. - Belhumeur, Kriegman - 1996
64 A unified approach to coding and interpreting face images - Lanitis, Taylor et al. - 1995
56 A low-dimensional representation of human faces for arbitrar.. (context) - Hallinan - 1994
49 Geometry and Photometry in 3D Visual Recognition - Shashua - 1992
46 Determining the gaze of faces in images - Gee, Cipolla - 1994
32 Finding face features - Craw, Tock et al. - 1992
31 Computer Vision (context) - Horn - 1986
30 The use of multiple measures in taxonomic problems (context) - Fisher - 1936
25 Learning-based hand sign recognition using SHOSLIF-M - Cui, Swets et al. - 1995
23 A Deformable Model for Face Recognition Under Arbitrary Ligh.. (context) - Hallinan - 1995
21 Determining Shape and Reflectance Using Multiple Images (context) - Silver - 1980
19 Face recognition: Features vs templates (context) - Brunelli, Poggio - 1993
19 Pattern rejection - Baker, Nayar - 1996
19 Automatic recognition of human facial expressions (context) - Matsuno, Lee et al. - 1995
19 Face detection by fuzzy pattern matching (context) - Chen, Wu et al. - 1995
16 Analysing images of curved surfaces (context) - Woodham - 1981
11 A Real--Time Face Recognition System Using Custom VLSI Hardw.. - Gilbert, Yang - 1993
9 Dimensionality of illumination in appearance matching (context) - Nayar, Murase - 1996
8 Finding faces in cluttered scenes using labeled random graph.. (context) - Leung, Burl et al. - 1995
6 Human face recognition method based on the statistical model.. (context) - Cheng, Liu et al. - 1991
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