42 search results - page 2 / 9 » Object localization using texture motifs and Markov random f... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
EMMCVPR
2001
Springer
13 years 9 months ago
2001
Springer
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
AE
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...