5 search results - page 1 / 1 » Auto-Context and Its Application to High-Level Vision Tasks ... |
115
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PAMI
2010
14 years 7 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
100
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ECCV
2000
Springer
15 years 11 months ago
2000
Springer
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Subspace segmentation is the task of segmenting data
lying on multiple linear subspaces. Its applications in
computer vision include motion segmentation in video,
structure-from...