105 search results - page 19 / 21 » Learning Generative Models for Monocular Body Pose Estimatio... |
ROMAN
2007
IEEE
14 years 15 days ago
2007
IEEE
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...