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Bilateral mesh denoising
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Source ACM Transactions on Graphics (TOG) archive
Volume 22 ,  Issue 3  (July 2003) table of contents
Special issue: Proceedings of ACM SIGGRAPH 2003
SESSION: Computation on GPUs table of contents
Pages: 950 - 953  
Year of Publication: 2003
ISSN:0730-0301
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Authors
Shachar Fleishman  Tel Aviv University
Iddo Drori  Tel Aviv University
Daniel Cohen-Or  Tel Aviv University
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 22,   Downloads (12 Months): 177,   Citation Count: 39
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ABSTRACT

We present an anisotropic mesh denoising algorithm that is effective, simple and fast. This is accomplished by filtering vertices of the mesh in the normal direction using local neighborhoods. Motivated by the impressive results of bilateral filtering for image denoising, we adopt it to denoise 3D meshes; addressing the specific issues required in the transition from two-dimensions to manifolds in three dimensions. We show that the proposed method successfully removes noise from meshes while preserving features. Furthermore, the presented algorithm excels in its simplicity both in concept and implementation.


REFERENCES

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DESBRUN, M., MEYER, M., SCHRÖDER, P., AND BARR, A. H. 2000. Anisotropic feature-preserving denoising of height fields and bivariate data. In Graphics Interface, 145--152.
 
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DONOHO, D. L. 1995. De-noising by soft-thresholding. IEEE Transactions on Information Theory 41, 3, 613--627.
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ELAD, M. 2001. On the bilateral filter and ways to improve it. IEEE Transactions On Image Processing.
 
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TASDIZEN, T., WHITAKER, R., BURCHARD, P., AND OSHER, S. 2002. Anisotropic geometric diffusion in surface processing. In IEEE Visualization 2002.
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CITED BY  39
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Shachar Fleishman: colleagues
Iddo Drori: colleagues
Daniel Cohen-Or: colleagues

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