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Robust Feature Extraction Based on Principal Curvature Direction

  • Jin-Jiang Li
  • Hui Fan
Conference paper
  • 1.7k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7633)

Abstract

In this paper, we propose a new robust feature extraction algorithm for 3D models based on principal curvature direction. After principal curvatures directional fuzzy filtering, it is a good description of the geometric discontinuity. Compared with of the curvatures value, the impact of noise on the principal curvature direction is small. Therefore, feature extraction based on principal curvature direction is more robust and more accurately.

Keywords

Feature extraction Integral Invariants Principal Curvature Direction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jin-Jiang Li
    • 1
  • Hui Fan
    • 2
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingP.R. China
  2. 2.School of Computer Science and TechnologyShandong Institute of Business and TechnologyYantaiP.R. China

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