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» Application of Level Set Methods in Computer Vision
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SCALESPACE
2007
Springer
14 years 1 months ago
Level Set Methods for Watershed Image Segmentation
In this work a marker-controlled and regularized watershed segmentation is proposed. Only a few previous studies address the task of regularizing the obtained watershed lines from ...
Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert,...
ICML
2006
IEEE
14 years 8 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
CVPR
1999
IEEE
13 years 11 months ago
A Volumetric Stereo Matching Method: Application to Image-Based Modeling
We formulate stereo matching as an extremal surface extraction problem. This is made possible by embedding the disparity surface inside a volume where the surface is composed of v...
Qian Chen, Gérard G. Medioni
CVPR
2010
IEEE
14 years 3 months ago
Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU
Level set method based segmentation provides an efficient tool for topological and geometrical shape handling. Conventional level set surfaces are only C0 continuous since the le...
Ojaswa Sharma, Qin Zhang, Françs Anton, Chandraji...
ICPR
2006
IEEE
14 years 8 months ago
Smoothing with Active Surfaces: A Multiphase Level Set Approach
In this paper, we propose to use an active contour method to attract active surfaces towards non-smoothed segmentation masks. To achieve this task, we introduce a new region-based...
Cedric De Roover, Jacek Czyz, Benoit M. Macq