We describe a simple metric for image patches similarity, together with a robust criterion for unsupervised patch matching. The gradient orientations at corresponding positions in the two patches are compared and the normalized errors are accumulated. Based on the a contrario framework, the matching criterion validates a match between two patches when this cumulative error is too small to have occurred as the result of an accidental agreement. The method is illustrated in the validation of keypoint matches.This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/ICIP.2015.735093
International audienceAn error occurs in graph-based keypoint matching when key-points in two differ...
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In this work, the correspondence problem for feature points between images is investigated. In this ...
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Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction...
The correspondence problem remains of central interest in image analysis. Matching images is a funda...
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International audienceIn this work we introduce a statistical framework in order to analyze the spat...
Image and video comparison is often approached by comparing patches of visual information. In this w...
Our goal is a registration algorithm capable of aligning image pairs having some combination of low ...
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Many successful feature detectors and descriptors exist for 2D intensity images. However, obtaining ...
International audienceAn error occurs in graph-based keypoint matching when key-points in two differ...
Abstract—In spite of many interesting attempts, the problem of automatically finding alignments in a...
In this work, the correspondence problem for feature points between images is investigated. In this ...
We describe a simple metric for image patches similarity, together with a robust criterion for unsup...
Abstract—A simple and reliable keypoint matching method is proposed in this paper. Our research is m...
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction...
The correspondence problem remains of central interest in image analysis. Matching images is a funda...
Besides stating the problem of image registration this chapter is built on the following parts : 1) ...
Abstract—Many algorithms have been proposed to solve the problem of matching feature points in two o...
In this article we present an algorithm for the detection of perceptually relevant alignments of poi...
International audienceIn this work we introduce a statistical framework in order to analyze the spat...
Image and video comparison is often approached by comparing patches of visual information. In this w...
Our goal is a registration algorithm capable of aligning image pairs having some combination of low ...
International audienceRegion matching - finding conjugate regions on a pair of images - plays a fund...
Many successful feature detectors and descriptors exist for 2D intensity images. However, obtaining ...
International audienceAn error occurs in graph-based keypoint matching when key-points in two differ...
Abstract—In spite of many interesting attempts, the problem of automatically finding alignments in a...
In this work, the correspondence problem for feature points between images is investigated. In this ...