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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Project supported by the National Science Fund for Creative Research Groups (No. 60521002), and the National Natural Science Foundation of China (Nos. 60373070 and 60573147)
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Mao, Zh., Ma, Lz., Zhao, Mx. et al. Feature-preserving mesh denoising based on contextual discontinuities. J. Zhejiang Univ. - Sci. A 7, 1603–1608 (2006). https://doi.org/10.1631/jzus.2006.A1603
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DOI: https://doi.org/10.1631/jzus.2006.A1603