Paper Title:
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.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
92-97
DOI
10.4028/www.scientific.net/AMM.48-49.92
Citation
X. G. Wang, J. Su, "A Novel Descriptor for Line (Curve) Matching", Applied Mechanics and Materials, Vols. 48-49, pp. 92-97, 2011
Online since
February 2011
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