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 | Source: | 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. | Document URI: | http://hdl.handle.net/1942/11694 | ISBN: | 978-1-4244-4295-9 | DOI: | 10.1109/ICASSP.2010.5495289 | ISI #: | 000287096001003 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2012 |
Appears in Collections: | Research publications |
Show full item record
SCOPUSTM
Citations
3
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
2
checked on Oct 14, 2024
Page view(s)
92
checked on Aug 25, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.