222 search results - page 35 / 45 » Self-Validated Labeling of Markov Random Fields for Image Se... |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...
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ECCV
2004
Springer
15 years 11 months ago
2004
Springer
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...