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» Normalized Cuts and Image Segmentation
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ICCV
2007
IEEE
14 years 11 months ago
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in computer vision. It has been applied to a wide range of segmentation tasks with great success. A...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
HLK
2003
IEEE
14 years 3 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson
TSMC
2008
138views more  TSMC 2008»
13 years 9 months ago
Image Thresholding Using Graph Cuts
A novel thresholding algorithm is presented in this paper to improve image segmentation performance at a low computational cost. The proposed algorithm uses a normalized graphcut m...
Wenbing Tao, Hai Jin, Yimin Zhang, Liman Liu, Desh...
BMVC
2010
13 years 4 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
DAGM
2007
Springer
14 years 1 months ago
Efficient Image Segmentation Using Pairwise Pixel Similarities
Image segmentation based on pairwise pixel similarities has been a very active field of research in recent years. The drawbacks common to these segmentation methods are the enormou...
Christopher Rohkohl, Karin Engel