A Fast Point-Sampled Model Denoising Algorithm for Product Design

Abstract:

Denoising is an essential step in creating perfect point-sampled models, which are widly used in the field of product Design. As the bilateral mesh deoising method by Fleishman has been extended to 3D point-sampled model, which is not efficient enough. For the reason, a method is proposed that using the quasi-Cauchy kernel to replace the Gauss kernel used in the bilateral filtering algorithm, so that the efficiency of the algorithm is improved. Experiments show that the method can eliminate the noise on the surface of the point-sampled model effectively and meanwhile the sharp features of the surface are preserved well．

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 392-396
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.392
• Online since: December 2012
• Authors: You Sheng Li
• Keywords: Bilateral Filtering, Gauss Kernel, Point-Sampled Model, Quasi-Cauchy Kernel

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