72 search results - page 8 / 15 » A Probabilistic Model for Object Recognition, Segmentation, ... |
ECCV
2004
Springer
14 years 8 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
MVA
1996
13 years 8 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...
ACCV
1995
Springer
13 years 10 months ago
1995
Springer
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
GBRPR
2005
Springer
14 years 7 days ago
2005
Springer
Shock graphs have emerged as a powerful generic 2-D shape representation. However, most approaches typically assume that the silhouette has been correctly segmented. In this paper,...