180 search results - page 9 / 36 » Learning Multiscale Image Models of 2D Object Classes |
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap bet...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
PAMI
2008
13 years 7 months ago
2008
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...