332 search results - page 46 / 67 » Probabilistic Modeling and Recognition of 3-D Objects |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
MVA
1996
13 years 9 months ago
1996
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
AGI
2011
12 years 11 months ago
2011
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
ARCS
2005
Springer
14 years 1 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...