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» Saliency Cuts: An automatic approach to object segmentation
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ICPR
2008
IEEE
14 years 10 months ago
Object recognition and segmentation using SIFT and Graph Cuts
In this paper, we propose a method of object recognition and segmentation using Scale-Invariant Feature Transform (SIFT) and Graph Cuts. SIFT feature is invariant for rotations, s...
Akira Suga, Keita Fukuda, Tetsuya Takiguchi, Yasuo...
ICIP
2006
IEEE
14 years 10 months ago
Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts
We present a semi-automatic segmentation technique of the anatomical structures of the brain: cerebrum, cerebellum, and brain stem. The method uses graph cuts segmentation with an...
Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, ...
ECCV
2010
Springer
14 years 1 months ago
ClassCut for Unsupervised Class Segmentation
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
CVPR
2003
IEEE
14 years 10 months ago
Object Segmentation Using Graph Cuts Based Active Contours
In this paper we present a graph cuts based active contours (GCBAC) approach to object segmentation problems. Our method is a combination of active contours and the optimization t...
Ning Xu, Ravi Bansal, Narendra Ahuja
IEEECGIV
2007
IEEE
14 years 3 months ago
A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map
Detecting change of remote sensing images is very important for some applications such as tracking of moving objects and motion estimation. Traditional work on change detection ha...
Minghui Tian, Shouhong Wan, Lihua Yue