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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11694

Title: CC-SIFT: Exploiting Chromatic Contrast forWide-Baseline Matching
Authors: ANCUTI, Codruta
ANCUTI, Cosmin
BEKAERT, Philippe
Issue Date: 2010
Citation: Proceedings of the 35th IEEE International Conference on Acoustics, Speech, and Signal Processing ((IEEE ICASSP 2010)). p. 938-941.
Abstract: Matching images taken from widely different viewpoints is still an open problem being extremely challenging. In this paper is presented a new method that manipulates effectively the color in order to improve the matching performances of the well-known SIFT operator for the wide-baseline case. Without exploiting additional information, the algorithm employs a new model that preserves efficiently the initial variations of the color and lightness. Instead of extracting feature points in the standard gray space, we take advantage of the redistributed chromatic information to increase the distinctness of the neighbor regions of the keypoints. No assumptions are made about the geometry or chromatic content of the initial images. The extensive experiments prove the utility and robustness of the new scheme that is able to find a considerable number of additional valid matches.
URI: http://hdl.handle.net/1942/11694
DOI: 10.1109/ICASSP.2010.5495289
ISI #: 000287096001003
ISBN: 978-1-4244-4295-9
ISSN: 1520-6149
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2012
Appears in Collections: Research publications

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