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» A Robust and Efficient Motion Segmentation Based on Orthogon...
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CVPR
2000
IEEE
14 years 6 months ago
A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
Naoyuki Ichimura
ICPR
2008
IEEE
13 years 10 months ago
Face recognition based on LBP and orthogonal rank-one tensor projections
In this paper, a novel framework for face recognition based on discriminatively trained orthogonal rank-one tensor projections (ORO) and local binary pattern (LBP) is proposed. LB...
NuTao Tan, Lei Huang, Changping Liu
ICIP
2010
IEEE
13 years 1 months ago
Implicit Motion-Shape Model: A generic approach for action matching
We develop a robust technique to find similar matches of human actions in video. Given a query video, Motion History Images (MHI) are constructed for consecutive keyframes. This i...
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang
ECCV
2006
Springer
14 years 6 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys