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

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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MAO Zhi-hong, MA Li-zhuang, ZHAO Ming-xi, LI Zhong. Feature-preserving mesh denoising based on contextual discontinuities[J]. Journal of Zhejiang University Science A, 2006, 7(9): 1603~1608.

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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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Reference

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[13] Ohtake, Y., Belyaev, A., Seidel, H.P., 2002. Mesh Smoothing by Adaptive and Anisotropic Gaussian Filter Applied to Mesh Normal. Proceedings of Vision, Modeling, and Visualization (VMV) 2002, Erlangen, Germany, p.203-210.

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