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CLC number: TP391
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Received: 2006-03-20
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Feature-preserving mesh denoising based on contextual discontinuities
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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.
@article{title="Feature-preserving mesh denoising based on contextual discontinuities",
author="MAO Zhi-hong, MA Li-zhuang, ZHAO Ming-xi, LI Zhong",
journal="Journal of Zhejiang University Science A",
volume="7",
number="9",
pages="1603-1608",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1603"
}
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%T Feature-preserving mesh denoising based on contextual discontinuities
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%A MA Li-zhuang
%A ZHAO Ming-xi
%A LI Zhong
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1603
TY - JOUR
T1 - Feature-preserving mesh denoising based on contextual discontinuities
A1 - MAO Zhi-hong
A1 - MA Li-zhuang
A1 - ZHAO Ming-xi
A1 - LI Zhong
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 9
SP - 1603
EP - 1608
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1603
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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