107 search results - page 5 / 22 » Detecting Objects of Variable Shape Structure With Hidden St... |
EMMCVPR
2001
Springer
13 years 12 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...