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» Graph-Theoretical Methods in Computer Vision
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BMVC
2010
15 years 1 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
CVPR
2009
IEEE
17 years 2 months ago
A Tensor-Based Algorithm for High-Order Graph Matching
This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order constraints instead of the unary or pairwise ones used in...
Francis R. Bach, In-So Kweon, Jean Ponce, Olivier ...
CVPR
2009
IEEE
17 years 1 months ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...
CVPR
2009
IEEE
17 years 1 months ago
Histogram-based Interest Point Detectors
We present a new method for detecting interest points using histogram information. Unlike existing interest point detectors, which measure pixel-wise differences in image intens...
Wei-Ting Lee (National Tsing Hua University), Hwan...
CVPR
2009
IEEE
17 years 1 months ago
Single-Image Optical Center Estimation from Vignetting and Tangential Gradient Symmetry
In this paper, we propose a method for estimating the optical center of a camera given only a single image with vignetting. This is accomplished by identifying the center of the...
Yuanjie Zheng (University Of Delaware), Chandra Ka...