222 search results - page 28 / 45 » Self-Validated Labeling of Markov Random Fields for Image Se... |
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
BMVC
2010
13 years 5 months ago
2010
The problems of dense stereo reconstruction and object class segmentation can both be formulated as Conditional Random Field based labelling problems, in which every pixel in the ...
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...