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Feature-preserving mesh denoising based on contextual discontinuities
作者姓名:MAO  Zhi-hong  MA  Li-zhuang  ZHAO  Ming-xi  LI  Zhong
作者单位:Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200030,China
基金项目:Project supported by the National Science Fund for Creative Re-search Groups (No. 60521002), and the National Natural Science Foundation of China (Nos. 60373070 and 60573147)
摘    要:INTRODUCTION With the proliferation of 3D scanning tools, in- terest in removing noise from meshes has increased. An important problem is how to suppress noise while preserving desirable geometric features of the model. In general, smoothing algorithms are roughly classi- fied into two categories: linear and nonlinear smoothing (Gonzalez and Woods, 2002). For linear smoothing, each mesh point is moved to the bary- center of its neighbors. Linear smoothing treats fea- ture (large variatio…

关 键 词:网格噪音  特征保存  上下文中断  网格凸极性  两面滤波
收稿时间:2006-03-20
修稿时间:2006-05-21

Feature-preserving mesh denoising based on contextual discontinuities
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,2006,7(9):1603-1608.
Authors:Zhi-hong Mao  Li-zhuang Ma  Ming-xi Zhao  Zhong Li
Institution:(1) Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
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. 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)
Keywords:Mesh denoising  Feature preserving  Contextual discontinuities  Mesh saliency  Bilateral filter
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