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» PAMPAS: Real-Valued Graphical Models for Computer Vision
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CVPR
2003
IEEE
14 years 6 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
CVPR
2006
IEEE
13 years 10 months ago
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
Part-based tree-structured models have been widely used for 2D articulated human pose-estimation. These approaches admit efficient inference algorithms while capturing the import...
Leonid Sigal, Michael J. Black
CGF
2005
167views more  CGF 2005»
13 years 4 months ago
Adaptive Deformable Models for Graphics and Vision
Deformable models are a powerful tool in both computer graphics and computer vision. The description and implementation of the deformations have to be simultaneously flexible and ...
Siome Goldenstein, Christian Vogler, Luiz Velho
ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Using graphics devices in reverse: GPU-based Image Processing and Computer Vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
CVPR
2008
IEEE
14 years 6 months ago
Layered graphical models for tracking partially-occluded objects
Vitaly Ablavsky, Ashwin Thangali, Stan Sclaroff