Feature Extraction from the Mesh Model with Some Noise

Authors:
Zhong Li;Lizhuang Ma;Zuoyong Zheng;Wuzheng Tan
Affiliations:
Department of Mathematics and Science, Zhejiang Sci-Tech University, Hangzhou,310018, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
Venue:
SG '07 Proceedings of the 8th international symposium on Smart Graphics
Year:
2007

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Abstract

This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bézier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.