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Conference Paper: A robust algorithm for denoising meshes with high-resolution details

TitleA robust algorithm for denoising meshes with high-resolution details
Authors
KeywordsFace Neighborhood
High-Resolution Details
Mesh Denoising
Normal Clustering
Normal Filtering
Issue Date2012
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 1st International Conference on Computational Visual Media (CVM 2012), Beijing, China, 8-10 November 2012. In Lecture Notes in Computer Science, 2012, v. 7633, p. 75-82 How to Cite?
AbstractIn this paper, we present a robust and efficient mesh denoising algorithm which preserves high-resolution details very well. Our method is a three-stage algorithm. Firstly, we modify a robust density-based clustering method and apply it to the face neighborhood of each triangular face to extract a subset of neighbors which belong to the same cluster as the central face. Because the faces within the extracted subset are not distributed across high-resolution details, we filter the central face normal iteratively within this subset to remove noise and preserve such details as much as possible. Finally, vertex positions are updated to be consistent with the filtered face normals using a least-squares formulation. Experiments on various types of meshes indicate that our method has advantages over previous surface denoising methods. © 2012 Springer-Verlag.
DescriptionLNCS v. 7633 entitled: Computational visual media : first international conference, CVM 2012, Beijing, China, November 8-10, 2012 : proceedings
Persistent Identifierhttp://hdl.handle.net/10722/186497
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorFan, Hen_US
dc.contributor.authorPeng, Qen_US
dc.contributor.authorYu, Yen_US
dc.date.accessioned2013-08-20T12:11:14Z-
dc.date.available2013-08-20T12:11:14Z-
dc.date.issued2012en_US
dc.identifier.citationThe 1st International Conference on Computational Visual Media (CVM 2012), Beijing, China, 8-10 November 2012. In Lecture Notes in Computer Science, 2012, v. 7633, p. 75-82en_US
dc.identifier.isbn978-364234262-2-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/186497-
dc.descriptionLNCS v. 7633 entitled: Computational visual media : first international conference, CVM 2012, Beijing, China, November 8-10, 2012 : proceedings-
dc.description.abstractIn this paper, we present a robust and efficient mesh denoising algorithm which preserves high-resolution details very well. Our method is a three-stage algorithm. Firstly, we modify a robust density-based clustering method and apply it to the face neighborhood of each triangular face to extract a subset of neighbors which belong to the same cluster as the central face. Because the faces within the extracted subset are not distributed across high-resolution details, we filter the central face normal iteratively within this subset to remove noise and preserve such details as much as possible. Finally, vertex positions are updated to be consistent with the filtered face normals using a least-squares formulation. Experiments on various types of meshes indicate that our method has advantages over previous surface denoising methods. © 2012 Springer-Verlag.-
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/-
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectFace Neighborhood-
dc.subjectHigh-Resolution Details-
dc.subjectMesh Denoising-
dc.subjectNormal Clustering-
dc.subjectNormal Filtering-
dc.titleA robust algorithm for denoising meshes with high-resolution detailsen_US
dc.typeConference_Paperen_US
dc.identifier.emailYu, Y: yzyu@cs.hku.hken_US
dc.identifier.authorityYu, Y=rp01415en_US
dc.identifier.doi10.1007/978-3-642-34263-9_10-
dc.identifier.scopuseid_2-s2.0-84868316827-
dc.identifier.hkuros220949en_US
dc.identifier.volume7633-
dc.identifier.spage75en_US
dc.identifier.epage82en_US
dc.publisher.placeGermany-
dc.customcontrol.immutablesml 130830-

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