118
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
106
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
75
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
61
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
116
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Parametric active contours have been used extensively in computer vision for different tasks like segmentation and tracking. However, all parametric contours are known to suffer f...
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
53
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
We study from a theoretical standpoint the ambiguities that occur when tracking a generic deformable surface under monocular perspective projection given 3?D to 2?D correspondence...
66
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model...