222 search results - page 35 / 45 » Self-Validated Labeling of Markov Random Fields for Image Se... |
ICIP
2005
IEEE
14 years 9 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
14 years 9 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...
ECCV
2004
Springer
14 years 9 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
14 years 8 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
14 years 9 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...