File Download
 
Links for fulltext
(May Require Subscription)
 
Supplementary

Conference Paper: Feature-preserving mesh denoising via bilateral normal filtering
  • Basic View
  • Metadata View
  • XML View
TitleFeature-preserving mesh denoising via bilateral normal filtering
 
AuthorsLee, KW1
Wang, WP1
 
Issue Date2005
 
CitationProceedings - Ninth International Conference On Computer Aided Design And Computer Graphics, Cad/Cg 2005, 2005, v. 2005, p. 275-280 [How to Cite?]
DOI: http://dx.doi.org/10.1109/CAD-CG.2005.40
 
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.
 
DOIhttp://dx.doi.org/10.1109/CAD-CG.2005.40
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorLee, KW
 
dc.contributor.authorWang, WP
 
dc.date.accessioned2012-06-26T06:30:29Z
 
dc.date.available2012-06-26T06:30:29Z
 
dc.date.issued2005
 
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.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationProceedings - Ninth International Conference On Computer Aided Design And Computer Graphics, Cad/Cg 2005, 2005, v. 2005, p. 275-280 [How to Cite?]
DOI: http://dx.doi.org/10.1109/CAD-CG.2005.40
 
dc.identifier.doihttp://dx.doi.org/10.1109/CAD-CG.2005.40
 
dc.identifier.epage280
 
dc.identifier.scopuseid_2-s2.0-33847297689
 
dc.identifier.spage275
 
dc.identifier.urihttp://hdl.handle.net/10722/151892
 
dc.identifier.volume2005
 
dc.languageeng
 
dc.relation.ispartofProceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005
 
dc.relation.referencesReferences in Scopus
 
dc.titleFeature-preserving mesh denoising via bilateral normal filtering
 
dc.typeConference_Paper
 
<?xml encoding="utf-8" version="1.0"?>
<item><contributor.author>Lee, KW</contributor.author>
<contributor.author>Wang, WP</contributor.author>
<date.accessioned>2012-06-26T06:30:29Z</date.accessioned>
<date.available>2012-06-26T06:30:29Z</date.available>
<date.issued>2005</date.issued>
<identifier.citation>Proceedings - Ninth International Conference On Computer Aided Design And Computer Graphics, Cad/Cg 2005, 2005, v. 2005, p. 275-280</identifier.citation>
<identifier.uri>http://hdl.handle.net/10722/151892</identifier.uri>
<description.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 &quot;intensity difference&quot; 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. &#169; 2005 IEEE.</description.abstract>
<language>eng</language>
<relation.ispartof>Proceedings - Ninth International Conference on Computer Aided Design and Computer Graphics, CAD/CG 2005</relation.ispartof>
<title>Feature-preserving mesh denoising via bilateral normal filtering</title>
<type>Conference_Paper</type>
<description.nature>link_to_subscribed_fulltext</description.nature>
<identifier.doi>10.1109/CAD-CG.2005.40</identifier.doi>
<identifier.scopus>eid_2-s2.0-33847297689</identifier.scopus>
<relation.references>http://www.scopus.com/mlt/select.url?eid=2-s2.0-33847297689&amp;selection=ref&amp;src=s&amp;origin=recordpage</relation.references>
<identifier.volume>2005</identifier.volume>
<identifier.spage>275</identifier.spage>
<identifier.epage>280</identifier.epage>
</item>
Author Affiliations
  1. The University of Hong Kong