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《Journal of Computer-Aided Design & Computer Graphics》 2009-07
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A Feature Preserving Denoising Approach for Scanned Models Based on Trilateral Filtering

Zhang Xin1,2)Wang Zhangye1) Fan Hanqi1)Wang Baoyuan3)Peng Qunsheng1,2)1)(State Key Laboratory of CAD & CG,Zhejiang University,Hangzhou 310058)2)(Center of Mathematical Sciences,Zhejiang University,Hangzhou 310027)3)(Department of Computer Science,Zhejiang University,Hangzhou 310027)  
With the wide application of 3D scanning technology,how to model the target object based on the discrete scanning data in a robust and efficient way has become one of the research topics in Computer Graphics.This paper proposes a robust filter function,called trilateral filter function,to filter the noises in the domains of surface curvature,normal and position at each sample point while the local surface is fitted in a quadratic form.By optimizing the filtering result of curvature tensor,our approach is capable of preserving the feature on the target model.Since it requests no connection information between the adjacent sample points,the proposed approach is applicable to both mesh and point models.
【Fund】: 国家“九七三”重点基础研究发展计划项目(2002CB312101);; 国家“八六三”高技术研究发展计划(2006AA01Z314 2007AA01Z316);; 浙江省自然科学基金杰出青年团队项目(R407042)
【CateGory Index】: TP391.41
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【Citations】
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1 Fan Hanqi1) Miao Lanfang2) Zhang Xin1) Peng Qunsheng1)1)(State Key Laboratory of CAD & CG,Zhejiang University,Hangzhou 310027)2)(College of Mathematics Physics and Information Engineering,Zhejiang Normal University,Jinhua 321004);Robust High-Order Bilateral Denoising Filter[J];Journal of Computer-Aided Design & Computer Graphics;2009-06
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