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» Statistical Models of Appearance for Computer Vision
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ICCV
2001
IEEE
16 years 1 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
ECCV
2008
Springer
16 years 1 months ago
Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem
The Shape-from-Shading [SfS] problem infers shape from reflected light, collected using a camera at a single point in space only. Reflected light alone does not provide sufficient ...
Tom S. F. Haines, Richard C. Wilson
CVPR
2012
IEEE
13 years 2 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang
CVPR
2008
IEEE
16 years 1 months ago
Order consistent change detection via fast statistical significance testing
Robustness to illumination variations is a key requirement for the problem of change detection which in turn is a fundamental building block for many visual surveillance applicati...
Maneesh Singh, Vasu Parameswaran, Visvanathan Rame...
ICPR
2008
IEEE
16 years 1 months ago
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Shiguang Shan, Shufu Xie, Wen Gao, Xilin Chen