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.
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