134
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper conducts an in-depth study on a classical perceptual-organization problem: finding salient closed boundaries from a set of boundary fragments detected in a noisy image....
104
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
98
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple...
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
In this paper, we present a unified framework for modeling intrinsic properties of face images for recognition. It is based on the quotient image (QI) concept, in particular on th...
109
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
The appearance of surface texture as it varies with angular changes of view and illumination is becoming an increasingly important research topic. The bidirectional texture functi...
116
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...
131
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
65
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
98
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...