Noise reduction for mesh smoothing of 3D mesh data
Dae-Hwan Hyeon, Taeg Keun Whangbo
Abstract
Open-access reader
Dae-Hwan Hyeon, Taeg Keun Whangbo
Abstract
Open-access reader
In this paper, we propose a mesh smoothing method for mesh models with noise. The proposed method enables not only the removal of noise from the vertexes but the preservation and smoothing of shape recognized as edges and comers. The magnitude ratio of 2D area and 3D volume in mesh data is adopted for the smoothing of noise. Comparing with previous smoothing methods, this method does not need many iteration of the smoothing process and could preserve the shape of original model. Experimental results demonstrate improved performance of the proposed approach in 3D mesh smoothing.
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In this paper, we propose a mesh smoothing method for mesh models with noise. The proposed method enables not only the removal of noise from the vertexes but the preservation and smoothing of shape recognized as edges and comers. The magnitude ratio of 2D area and 3D volume in mesh data is adopted for the smoothing of noise. Comparing with previous smoothing methods, this method does not need many iteration of the smoothing process and could preserve the shape of original model. Experimental results demonstrate improved performance of the proposed approach in 3D mesh smoothing.
Key concepts: Smoothing, Laplacian smoothing, Noise reduction, Computer science, Noise (video), Reduction (mathematics), Process (computing), Algorithm