Corpus ID: 10594527

Non-iterative Global Mesh Smoothing with Feature Preservation

  title={Non-iterative Global Mesh Smoothing with Feature Preservation},
  author={Zhongping Ji and Ligang Liu and Guo-jin Wang},
This paper presents a novel approach for non-iterative surface smoothing with feature preservation on arbitrary meshes. Laplacian operator is performed in a global way over the mesh. The surface smoothing is formulated as a quadratic optimization problem, which is easily solved by a sparse linear system. The cost function to be optimized penalizes deviations from the global Laplacian operator while maintaining the overall shape of the original mesh. The features of the original mesh can be… Expand
Feature-Preserving Mesh Denoising via Anisotropic Surface Fitting
  • J. Wang, Zeyun Yu
  • Computer Science, Medicine
  • Journal of Computer Science and Technology
  • 2012
A robust surface mesh denoising method that can effectively remove mesh noise while faithfully preserving sharp features while filtering mesh noise is proposed. Expand
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