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CVPR
1997
IEEE
14 years 20 days ago
Normalized Cuts and Image Segmentation
ÐWe propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach ...
Jianbo Shi, Jitendra Malik
ICCV
2009
IEEE
15 years 1 months ago
Higher-Order Gradient Descent by Fusion-Move Graph Cut
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higherorder graph...
Hiroshi Ishikawa
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
ISBI
2009
IEEE
14 years 3 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin
DAGM
2009
Springer
13 years 9 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul