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- W4387583160 abstract "Mesh filtering of surfaces is crucial for noise reduction, feature preservation, and mesh simplification in graphics, visualization, and computer vision. In this paper, the detail preservation capacities of 3 frequently used filters, i.e., Bilateral, Laplacian, and Taubin mesh filters, in mesh filtering have been thoroughly examined by experiments conducted on 4 different test meshes. Bilateral filtering maintains sharp features by combining geometric closeness and intensity resemblance but may be computationally intensive. Laplacian filtering smoothens the surface by averaging neighboring vertices but might over-smooth sharp details, while Taubin filtering iteratively applies Laplacian and high-pass filters, achieving smoothness without shrinking the mesh. The statistical analysis of the experimental results has shown that the Taubin method is statistically a more successful mesh filtering method for the test sets used in this paper." @default.
- W4387583160 created "2023-10-13" @default.
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- W4387583160 date "2023-09-25" @default.
- W4387583160 modified "2023-10-18" @default.
- W4387583160 title "ANALYSING DETAIL PRESERVING CAPABILITIES OF BILATERAL, LAPLACIAN AND TAUBIN MESH FILTERING METHODS" @default.
- W4387583160 doi "https://doi.org/10.53093/mephoj.1349021" @default.
- W4387583160 hasPublicationYear "2023" @default.
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