111 search results - page 7 / 23 » Multi-class image segmentation using conditional random fiel... |
101
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3DOR
2008
14 years 12 months ago
2008
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
75
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
89
Voted
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...