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《Journal of Computer-Aided Design & Computer Graphics》 2010-11
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Denoising of Point-Sampled Model Based on Normal Mollification and Median Filtering

Su Zhixun,Li Zhiyang,and Wang Xiaochao(School of Mathematical Sciences,Dalian University of Technology,Dalian 116024)  
In this paper we propose a denoising algorithm based on L1 median filtering for noisy sets of points.The proposed algorithm improves the traditional methods to better preserve the surface features and handle well the outliers.Based on the kernel regression theory,we establish a framework for normal mollification.The framework utilizes the Hessian matrix and predicates more accurate normals.Using the framework we present a novel iterative denoising method for point-sampled model based on the classic L1 median theory.The comparison of our method to the classical mean-shift denoising method and bilateral filtering method are discussed.The experimental results are presented which show the efficiency of the algorithm and the simplicity of implementation.
【Fund】: 国家自然科学基金(60673006 U0935004)
【CateGory Index】: TP391.41
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