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» A Bayesian Network Framework for Relational Shape Matching
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ICCV
2003
IEEE
14 years 6 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
CVPR
2004
IEEE
14 years 6 months ago
Representation and Matching of Articulated Shapes
We consider the problem of localizing the articulated and deformable shape of a walking person in a single view. We represent the non-rigid 2D body contour by a Bayesian graphical...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
CGI
2004
IEEE
13 years 8 months ago
Feature-Sensitive 3D Shape Matching
Three dimensional shape matching plays an important role in many of today's applications. Nevertheless, shape matching is a difficult problem since there is no unique measure...
Andrei Sharf, Ariel Shamir
PAMI
1998
134views more  PAMI 1998»
13 years 4 months ago
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition
—Deformable models have recently been proposed for many pattern recognition applications due to their ability to handle large shape variations.These proposed approaches represent...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
ICPR
2008
IEEE
13 years 11 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...