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» Learning Probabilistic Models of Contours
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CVPR
2010
IEEE
15 years 3 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
ICCV
1999
IEEE
15 years 2 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein
76
Voted
IJCV
2000
97views more  IJCV 2000»
14 years 9 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of c...
Daniel Freedman, Michael S. Brandstein
IVC
2006
154views more  IVC 2006»
14 years 9 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
PAMI
2006
182views more  PAMI 2006»
14 years 9 months ago
Multicue HMM-UKF for Real-Time Contour Tracking
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
Yunqiang Chen, Yong Rui, Thomas S. Huang