Lei Zhang Dimitris Samaras Department of Computer Science SUNY at Stony...  Home/Search
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Abstract: We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3D shape information. Our method is based on the recent result [1] which demostrated that the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can be approximated accurately by a low-dimensional linear subspace. In this paper, we show that we can recover basis images... (Update)
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BibTeX entry: (Update)
L. Zhang and D. Samaras. Face recognition under variable lighting using harmonic image exemplars. In CVPR, pages I: 19--25, 2003. http://citeseer.ist.psu.edu/zhang03face.html More
@misc{ zhang03face,
author = "L. Zhang and D. Samaras",
title = "Face recognition under variable lighting using harmonic image exemplars",
text = "L. Zhang and D. Samaras. Face recognition under variable lighting using
harmonic image exemplars. In CVPR, pages I: 19--25, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/zhang03face.html" }
Citations (may not include all citations):495 Eigenfaces for Recognition (context) - Turk, Pentland - 1991
238 Human and Machine Recognition of Faces: A Survey (context) - Chellappa, Wilson et al. - 1995
148 Visual Learning and Recognition of 3D Objects from Appearanc.. (context) - Murase, Nayar - 1995
124 Eigenfaces vs. Fisherfaces: Recognition using class specific.. - Belhumeur, Hespanha et al. - 1997
88 Face recognition: The problem of compensating for changes in.. - Adini, Moses et al. - 1997
77 Face Recognition: A Literature Survey - Zhao, Chellappa et al. - 2000
75 What is the set of images of an object under all possible li.. - Belhumeur, Kriegman - 1998
56 A low-dimensional representation of human faces for arbitrar.. (context) - Hallinan - 1994
36 A Morphable Model for the synthesis of 3D Faces (context) - Blanz, Vetter - 1999
28 Support Vector Regression and Classification Based Multi-vie.. - Li, Liddell - 2000
23 Looking at people: Sensing for Ubiquitous and Wearable Compu.. (context) - Pentland - 2000
19 From Few to Many: Illumination Cone Models for Face Recognit.. (context) - Georghiades, Belhumeur et al. - 2001
18 Shape from Shading: A Survey - Zhang, Tsai et al. - 1999
13 Analytic PCA Construction for Theoretical Analysis of Lighti.. - Ramamoorthi - 2002
11 Nine Points of Light: Acquiring Subspaces for Face Recogniti.. (context) - Lee, Ho et al. - 2001
8 IlluminationInsensitive Face Recognition using Symmetric Sha.. - Zhao, Chellappa et al. - 2000
8 Face Identification by Fitting a 3D Morphable Model using Li.. (context) - Romdhani, Blanz et al. - 2002
6 5+/-2 eigenimages suffice: An empirical investigation of low.. (context) - Epstein, Hallinan et al. - 1995
4 Combining Models and Exemplars for Face Recognition: An Illu.. - Sim, Kanade - 2001
4 Illumination Insensitive Eigenspaces (context) - Bischof, Wildenauer et al. - 2001
1 Illuminating the Face (context) - Sim, Kanade - 2001
1 Lamberian reflectance and linear subspaces (context) - Basri, Jacobs - 2001
Documents on the same site (http://www.cs.sunysb.edu/~samaras/papers/):
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