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» Learning Conditional Random Fields for Stereo
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CVPR
2008
IEEE
14 years 10 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
ECCV
2006
Springer
14 years 10 months ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
Ashish Kapoor, John M. Winn
IJCAI
2007
13 years 10 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng
COLING
2010
13 years 3 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...
BMVC
2010
13 years 6 months ago
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction
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 ...
Lubor Ladicky, Paul Sturgess, Christopher Russell,...