192 search results - page 10 / 39 » Learning Conditional Random Fields for Stereo |
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
IJCAI
2007
13 years 11 months ago
2007
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
IJRR
2007
13 years 9 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...