Kernel-Based Laplacian Smoothing Method for 3D Mesh Denoising

  • Hicham Badri
  • Mohammed El Hassouni
  • Driss Aboutajdine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7340)

Abstract

In this paper, we present an improved Laplacian smoothing technique for 3D mesh denoising. This method filters directly the vertices by updating their positions. Laplacian smoothing process is simple to implement and fast, but it tends to produce shrinking and oversmoothing effects. To remedy this problem, firstly, we introduce a kernel function in the Laplacian expression. Then, we propose to use a linear combination of denoised instances. This combination aims to reduce the number of iterations of the desired method by coupling it with a technique that leads to oversmoothing. Experiments are conducted on synthetic triangular meshes corrupted by Gaussian noise. Results show that we outperform some existing methods in terms of objective and visual quality.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hicham Badri
    • 1
  • Mohammed El Hassouni
    • 1
    • 2
  • Driss Aboutajdine
    • 1
  1. 1.LRIT, Faculty of ScienceUniversity Mohammed V -AgdalRabatMorocco
  2. 2.DESTEC-FLSHRUniversity Mohammed V -AgdalRabatMorocco

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