JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.9 P.1603-1608

http://doi.org/10.1631/jzus.2006.A1603

Feature-preserving mesh denoising based on contextual discontinuities

Author(s): MAO Zhi-hong, MA Li-zhuang, ZHAO Ming-xi, LI Zhong
Affiliation(s): Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
Corresponding email(s): mzh_yu@sjtu.edu.cn
Key Words: Mesh denoising, Feature preserving, Contextual discontinuities, Mesh saliency, Bilateral filter

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Abstract: Motivated by the conception of Lee et al.(2005)’s mesh saliency and Chen (2005)’s contextual discontinuities, a novel adaptive smoothing approach is proposed for noise removal and feature preservation. mesh saliency is employed as a multiscale measure to detect contextual discontinuity for feature preserving and control of the smoothing speed. The proposed method is similar to the bilateral filter method. Comparative results demonstrate the simplicity and efficiency of the presented method, which makes it an excellent solution for smoothing 3D noisy meshes.

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