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» Learning Object Shape: From Drawings to Images
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CVPR
2004
IEEE
15 years 11 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
ICIP
2002
IEEE
15 years 11 months ago
Automatic 3D model reconstruction using voxel coding and pose integration
Automatic reconstruction of a complete 3D model of a complex object is presented. The complete 3D model is reconstructed by integrating two 3D models which are reconstructed from ...
Soon-Yong Park, Murali Subbarao
3DPVT
2004
IEEE
231views Visualization» more  3DPVT 2004»
15 years 1 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
CVPR
2006
IEEE
15 years 11 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
PR
2002
103views more  PR 2002»
14 years 9 months ago
Extracting moving shapes by evidence gathering
Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques ...
Michael G. Grant, Mark S. Nixon, Paul H. Lewis