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Random walks for mesh denoising
2007
Proceedings of the 2007 ACM symposium on Solid and physical modeling - SPM '07
This paper considers an approach to mesh denoising based on the concept of random walks. The proposed method consists of two stages: a face normal filtering procedure, followed by a vertex position updating procedure which integrates the denoised face normals in a least-squares sense. Face normal filtering is performed by weighted averaging of normals in a neighbourhood. The weights are based on the probability of arriving at a given neighbour after a random walk of a virtual particle starting
doi:10.1145/1236246.1236252
dblp:conf/sma/SunRML07
fatcat:hbap564nivay5cozqbpydzlkhi