Robust feature extraction based on principal curvature direction

Authors:
Jin-Jiang Li;Hui Fan
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, P.R. China;School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, P.R. China
Venue:
CVM'12 Proceedings of the First international conference on Computational Visual Media
Year:
2012

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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.