A Novel Descriptor for Line (Curve) Matching

Abstract:

This paper defines a new image feature called Harris feature vector, which is able to describe the image gradient distribution in an effective way. By computing the mean and the standard deviation of the Harris feature vector in a local image region, novel descriptors are constructed for line (curve) matching which are invariable to image rigid transformation and linear intensity change. Experimental evidence suggests that the novel descriptor for line (curve) matching performs well.

• Periodical: Applied Mechanics and Materials (Volumes 48-49)
• Pages: 92-97
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.48-49.92
• Online since: February 2011
• Authors: Xu Guang Wang, Jie Su
• Keywords: Feature Descriptor, Feature Matching, HFV, Orthogonal Transformation

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