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» A probabilistic framework for image segmentation
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CVPR
2012
IEEE
11 years 10 months ago
Multi-class cosegmentation
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
Armand Joulin, Francis Bach, Jean Ponce
3DPH
2009
190views Healthcare» more  3DPH 2009»
13 years 9 months ago
Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simu...
Moti Freiman, Noah Broide, Miriam Natanzon, Einav ...
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
14 years 2 months ago
Vision-based estimation of three-dimensional position and pose of multiple underwater vehicles
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
Sachit Butail, Derek A. Paley
ICCV
2001
IEEE
14 years 10 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
BMVC
2000
13 years 9 months ago
A Statistical Geometric Framework for Reconstruction of Scene Models
This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scen...
Anastasios Manessis, Adrian Hilton, Philip F. McLa...