Robust descriptors for matching irregular regions automatically

Zhiheng Wang; Hongmin Liu

doi:10.1117/12.832606

30 October 2009 Robust descriptors for matching irregular regions automatically

Zhiheng Wang, Hongmin Liu

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962Q (2009) https://doi.org/10.1117/12.832606
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Zhiheng Wang and Hongmin Liu "Robust descriptors for matching irregular regions automatically", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962Q (30 October 2009); https://doi.org/10.1117/12.832606

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