Shape index SIFT: Range image recognition using local features

Bayramog̃lu N., ALATAN A. A.

2010 20th International Conference on Pattern Recognition, ICPR 2010, İstanbul, Turkey, 23 - 26 August 2010, pp.352-355, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icpr.2010.95
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.352-355
  • Keywords: Local description, Range image recognition, Scale invariance, Shape index
  • Middle East Technical University Affiliated: Yes

Abstract

Range image recognition gains importance in the recent years due to the developments in acquiring, displaying, and storing such data. In this paper, we present a novel method for matching range surfaces. Our method utilizes local surface properties and represents the geometry of local regions efficiently. Integrating the Scale Invariant Feature Transform (SIFT) with the shape index (SI) representation of the range images allows matching of surfaces with different scales and orientations. We apply the method for scaled, rotated, and occluded range images and demonstrate the effectiveness it by comparing the previous studies. © 2010 IEEE.