5 search results - page 1 / 1 » Auto-Context and Its Application to High-Level Vision Tasks ... |
PAMI
2010
13 years 2 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
14 years 6 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
14 years 6 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...
ECCV
2000
Springer
14 years 6 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
14 years 9 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...