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- Publisher Website: 10.1007/978-3-642-34263-9_10
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Conference Paper: A robust algorithm for denoising meshes with high-resolution details
Title | A robust algorithm for denoising meshes with high-resolution details |
---|---|
Authors | |
Keywords | Face Neighborhood High-Resolution Details Mesh Denoising Normal Clustering Normal Filtering |
Issue Date | 2012 |
Publisher | Springer 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? |
Abstract | In 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. |
Description | LNCS v. 7633 entitled: Computational visual media : first international conference, CVM 2012, Beijing, China, November 8-10, 2012 : proceedings |
Persistent Identifier | http://hdl.handle.net/10722/186497 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Fan, H | en_US |
dc.contributor.author | Peng, Q | en_US |
dc.contributor.author | Yu, Y | en_US |
dc.date.accessioned | 2013-08-20T12:11:14Z | - |
dc.date.available | 2013-08-20T12:11:14Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.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 | en_US |
dc.identifier.isbn | 978-364234262-2 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/186497 | - |
dc.description | LNCS v. 7633 entitled: Computational visual media : first international conference, CVM 2012, Beijing, China, November 8-10, 2012 : proceedings | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | - |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Face Neighborhood | - |
dc.subject | High-Resolution Details | - |
dc.subject | Mesh Denoising | - |
dc.subject | Normal Clustering | - |
dc.subject | Normal Filtering | - |
dc.title | A robust algorithm for denoising meshes with high-resolution details | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Yu, Y: yzyu@cs.hku.hk | en_US |
dc.identifier.authority | Yu, Y=rp01415 | en_US |
dc.identifier.doi | 10.1007/978-3-642-34263-9_10 | - |
dc.identifier.scopus | eid_2-s2.0-84868316827 | - |
dc.identifier.hkuros | 220949 | en_US |
dc.identifier.volume | 7633 | - |
dc.identifier.spage | 75 | en_US |
dc.identifier.epage | 82 | en_US |
dc.publisher.place | Germany | - |
dc.customcontrol.immutable | sml 130830 | - |
dc.identifier.issnl | 0302-9743 | - |