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CVPR
2005
IEEE
13 years 9 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ACCV
2007
Springer
13 years 8 months ago
Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation
In the scope of level set image segmentation, the number of regions is fixed beforehand. This number occurs as a constant in the objective functional and its optimization. In this...
Ismail Ben Ayed, Amar Mitiche
ICCV
1999
IEEE
14 years 9 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
CVPR
2010
IEEE
14 years 3 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
ICCV
2003
IEEE
14 years 9 months ago
How To Deal with Point Correspondences and Tangential Velocities in the Level Set Framework
In this paper, we overcome a major drawback of the level set framework: the lack of point correspondences. We maintain explicit backward correspondences from the evolving interfac...
Jean-Philippe Pons, Gerardo Hermosillo, Renaud Ker...