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» Image Thresholding Using Graph Cuts
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PR
2007
189views more  PR 2007»
13 years 10 months ago
Information cut for clustering using a gradient descent approach
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
CVPR
2005
IEEE
15 years 29 days ago
Interactive Graph Cut Based Segmentation with Shape Priors
Interactive or semi-automatic segmentation is a useful alternative to pure automatic segmentation in many applications. While automatic segmentation can be very challenging, a sma...
Daniel Freedman, Tao Zhang
ECCV
2010
Springer
13 years 8 months ago
An Efficient Graph Cut Algorithm for Computer Vision Problems
Abstract. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems in computer vision. It has been shown that graph cut algorithms designed kee...
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N...
CVPR
2003
IEEE
15 years 29 days ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
CVPR
2005
IEEE
15 years 29 days ago
Spectral Segmentation with Multiscale Graph Decomposition
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, w...
Florence Bénézit, Jianbo Shi, Timoth...