Mesh smoothing via adaptive bilateral filtering

Authors:
Qibin Hou;Li Bai;Yangsheng Wang
Affiliations:
School of Computer Science and IT, University of Nottingham, Nottingham, UK;School of Computer Science and IT, University of Nottingham, Nottingham, UK;Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Year:
2005

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Abstract

In this paper, we present an adaptive bilateral filtering algorithm that can be used to remove unavoidable noise from 3D mesh data generated by initial stages. Selecting the parameters for bilateral filters automatically, this algorithm smoothes meshes in the normal field using anisotropic character of local neighborhood triangles. Experimental results demonstrate that the proposed method remove light noise from meshes and reserve fine features of meshes as good as best results of other methods, with the advantage of none user-assisted parameters setting. Visual comparisons display that the method proposed in this paper performs better than other smoothing method for heavy noisy mesh.