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Proceedings Paper

Multi-model geometrical fitting for wide baseline image matching
Author(s): Lixin Fan; Timo Pylvänäinen
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Paper Abstract

Local feature-based matching methods have witnessed great success in the context of multiple view matching, object recognition and video content analysis. Naturally, one would like to (1) investigate the merits and shortcomings of feature-based approaches; and (2) to extend such approaches to general object classes matching problems. The present paper illustrates our research attempts along this direction. The proposed feature-based method is empirically justified, and demonstrates excellent robustness against intra-class variation, structure variation, scale change, rotation and background clutter.

Paper Details

Date Published: 26 February 2008
PDF: 9 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 68130H (26 February 2008); doi: 10.1117/12.779411
Show Author Affiliations
Lixin Fan, Nokia Research Ctr. (Finland)
Timo Pylvänäinen, Nokia Research Ctr. (Finland)

Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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