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Proceedings Paper

Robust descriptors for matching irregular regions automatically
Author(s): Zhiheng Wang; Hongmin Liu
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Paper Abstract

Automatic feature matching, especially region matching, has made great progress in recent years, and a great deal of descriptor-based methods have been proposed. However, when constructing these descriptors for irregular regions, an extra step of fitting the irregular regions into fixed shape must be implemented in advance. The fitting step can cause great errors, and thus may result in poor matching. The main purpose of this paper is developing a strategy of constructing descriptors for irregular regions without any extra fitting steps. In this paper, two groups of descriptors are developed: one is the gradient-based descriptors and the other is the Harris-based descriptors. Experiments show that descriptors proposed in this paper can perform great and robust for irregular region matching on real images.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962Q (30 October 2009); doi: 10.1117/12.832606
Show Author Affiliations
Zhiheng Wang, Henan Polytechnic Univ. (China)
Hongmin Liu, Henan Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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