7 search results - page 1 / 2 » Ranking Prior Likelihood Distributions for Bayesian Shape Lo... |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
CVPR
2011
IEEE
13 years 26 days ago
2011
IEEE
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
CVPR
2004
IEEE
13 years 8 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
MMM
2007
Springer
13 years 11 months ago
2007
Springer
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...