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Conference Paper: Feature-preserving mesh denoising via bilateral normal filtering

TitleFeature-preserving mesh denoising via bilateral normal filtering
Authors
Issue Date2005
Citation
Proceedings - Ninth International Conference On Computer Aided Design And Computer Graphics, Cad/Cg 2005, 2005, v. 2005, p. 275-280 How to Cite?
Abstract
In this paper, we propose a feature-preserving mesh denoising algorithm which is effective, simple and easy to implement. The proposed method is a two-stage procedure with a bilateral surface normal filtering followed by integration of the normals for least squares error (LSE) vertex position updates. It is well-known that normal variations offer more intuitive geometric meaning than vertex position variations. A smooth surface can be described as one having smoothly varying normals whereas features such as edges and corners appear as discontinuities in the normals. Thus we cast feature-preserving mesh denoising as a robust surface normal estimation using bilateral filtering. Our definition of "intensity difference" used in the influence weighting function of the bilateral filter robustly prevents features such as sharp edges and corners from being washed out. We will demonstrate this capability by comparing the results from smoothing CAD-like models with other smoothing algorithms. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/151892
References

 

DC FieldValueLanguage
dc.contributor.authorLee, KWen_US
dc.contributor.authorWang, WPen_US
dc.date.accessioned2012-06-26T06:30:29Z-
dc.date.available2012-06-26T06:30:29Z-
dc.date.issued2005en_US
dc.identifier.citationProceedings - Ninth International Conference On Computer Aided Design And Computer Graphics, Cad/Cg 2005, 2005, v. 2005, p. 275-280en_US
dc.identifier.urihttp://hdl.handle.net/10722/151892-
dc.description.abstractIn this paper, we propose a feature-preserving mesh denoising algorithm which is effective, simple and easy to implement. The proposed method is a two-stage procedure with a bilateral surface normal filtering followed by integration of the normals for least squares error (LSE) vertex position updates. It is well-known that normal variations offer more intuitive geometric meaning than vertex position variations. A smooth surface can be described as one having smoothly varying normals whereas features such as edges and corners appear as discontinuities in the normals. Thus we cast feature-preserving mesh denoising as a robust surface normal estimation using bilateral filtering. Our definition of "intensity difference" used in the influence weighting function of the bilateral filter robustly prevents features such as sharp edges and corners from being washed out. We will demonstrate this capability by comparing the results from smoothing CAD-like models with other smoothing algorithms. © 2005 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005en_US
dc.titleFeature-preserving mesh denoising via bilateral normal filteringen_US
dc.typeConference_Paperen_US
dc.identifier.emailWang, WP:wenping@cs.hku.hken_US
dc.identifier.authorityWang, WP=rp00186en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/CAD-CG.2005.40en_US
dc.identifier.scopuseid_2-s2.0-33847297689en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847297689&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2005en_US
dc.identifier.spage275en_US
dc.identifier.epage280en_US
dc.identifier.scopusauthoridLee, KW=27168488300en_US
dc.identifier.scopusauthoridWang, WP=35147101600en_US

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