Mesh Denoising Based on Spherical Wavelets in Reverse Engineering


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This paper presents an approach for removing noises of 3D meshes using spherical wavelets. An input 3D mesh is firstly transformed into a spherical signal by a fast low distortion spherical parameterization. This spherical signal is then sampled regularly on the sphere and transformed into the wavelet domain where noises of 3D meshes can be removed easily. Experiments are taken with some typical 3D meshes, which reveals that our method can obtain good results.



Edited by:

Amanda Wu




J. P. Hu and Q. Xie, "Mesh Denoising Based on Spherical Wavelets in Reverse Engineering", Applied Mechanics and Materials, Vol. 232, pp. 904-907, 2012

Online since:

November 2012





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