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BMVC
2001
15 years 8 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
203
Voted
JEI
2006
162views more  JEI 2006»
15 years 6 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
DICTA
2003
15 years 7 months ago
Segmentation by Adaptive Prediction and Region Merging
Abstract This paper presents a segmentation technique based on prediction and adaptive region merging. While many techniques for segmentation exist, few of them are suited for the ...
Marc Van Droogenbroeck, Hugues Talbot
CVPR
2010
IEEE
15 years 11 months ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
173
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PR
2008
188views more  PR 2008»
15 years 6 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki