2865 search results - page 63 / 573 » Learning Models for Object Recognition |
NIPS
2004
13 years 11 months ago
2004
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
DAGM
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived fro...
NIPS
2004
13 years 11 months ago
2004
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
IJON
2002
13 years 9 months ago
2002
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...