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» A Graph Cut Approach to Image Segmentation in Tensor Space
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ECCV
2010
Springer
14 years 25 days ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
CVPR
2010
IEEE
13 years 10 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 10 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
ICCV
2005
IEEE
14 years 1 months ago
An Integrated Framework for Image Segmentation and Perceptual Grouping
This paper presents an efficient algorithm for image segmentation and a framework for perceptual grouping. It makes an attempt to provide one way of combining bottomup and top-do...
Zhuowen Tu
ECCV
2010
Springer
14 years 25 days ago
Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...