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» Graph-Theoretical Methods in Computer Vision
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CVPR
2005
IEEE
16 years 4 months ago
A Non-Local Algorithm for Image Denoising
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide c...
Antoni Buades, Bartomeu Coll, Jean-Michel Morel
CVPR
2007
IEEE
16 years 4 months ago
Evaluation of Cost Functions for Stereo Matching
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
Daniel Scharstein, Heiko Hirschmüller
CVPR
2007
IEEE
16 years 4 months ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang
185
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CVPR
2007
IEEE
16 years 4 months ago
Patch-based Image Correlation with Rapid Filtering
This paper describes a patch-based approach for rapid image correlation or template matching. By representing a template image with an ensemble of patches, the method is robust wi...
Guodong Guo, Charles R. Dyer
ICPR
2004
IEEE
16 years 3 months ago
Structural Graph Matching With Polynomial Bounds On Memory and on Worst-Case Effort
A new method of structural graph matching is introduced and compared against an existing method and against the maximum common subgraph. The method is approximate with polynomial ...
Fred W. DePiero