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Nonuniform bilateral filtering for point sets and surface attributes

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Abstract

With the proliferation of three-dimensional (3D) scanning tools and the popularity of point sets in geometry processing and rendering, there is a need for developing smoothing techniques for the point sets and surface attributes defined at these points. In this paper, we present a nonuniform bilateral filtering (NBF) method for point sets and surface attributes based on local geometry feature. In order to adapt the algorithm to irregular sampling, local sampling density is introduced to traditional bilateral filtering, and a global approach for volume preservation is proposed. Experiments show that our approach is stable, effective and easy to use.

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Authors and Affiliations

  1. Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, 200240, Shanghai, China

    Hongxing Qin & Jie Yang

  2. CREATIS, CNRS UMR 5220, Inserm unit 630, INSA of Lyon, University of Lyon 1, Villeurbanne, France

    Yuemin Zhu

Authors
  1. Hongxing Qin
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  2. Jie Yang
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  3. Yuemin Zhu
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Correspondence to Hongxing Qin.

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Qin, H., Yang, J. & Zhu, Y. Nonuniform bilateral filtering for point sets and surface attributes. TVC 24, 1067–1074 (2008). https://doi.org/10.1007/s00371-007-0206-8

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  • DOI: https://doi.org/10.1007/s00371-007-0206-8

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