Matching Local Invariant Features with Contextual Information: An Experimental Evaluation

The main advantage of using local invariant features is their local character which yields robustness to occlusion and varying background. Therefore, local features have proved to be a powerful tool for finding correspondences between images, and have been employed in many applications. However, the...

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Bibliographic Details

Published in:	ELCVIA Electronic Letters on Computer Vision and Image Analysis
Main Authors:	Desire Sidibe, Philippe Montesinos, Stefan Janaqi
Format:	Article
Language:	English
Published:	Computer Vision Center Press 2008-11-01
Subjects:	Image matching Local invariant features SIFT Contextual information Object recognition
Online Access:	https://elcvia.cvc.uab.es/article/view/271