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Conference Paper: Exact visual hull from marching cubes

TitleExact visual hull from marching cubes
Authors
KeywordsMarching cubes
Reconstruction
Visual hull
Issue Date2008
Citation
The 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), Funchal, Madeira, Portugal, 22-25 January 2008. In Proceedings of the 3rd International Conference on Computer Vision Theory and Applications, 2008, v. 2, p. 597-604 How to Cite?
AbstractThe marching cubes algorithm has been widely adopted for extracting a surface mesh from a volumetric description of the visual hull reconstructed from silhouettes. However, typical volumetric descriptions, such as an octree, provide only a binary description about the visual hull. The lack of interpolation information along each voxel edge, which is required by the marching cubes algorithm, usually results in inaccurate and bumpy surface mesh. In this paper, we propose a novel method to efficiently estimate the exact intersections between voxel edges and the visual hull boundary, which replace the missing interpolation information. The method improves both the visual quality and accuracy of the estimated visual hull mesh, while retaining the simplicity and robustness of the volumetric approach. To verify this claim, we present both synthetic and real-world experiments, as well as comparisons with existing volumetric approaches and other approaches targeting at an exact visual hull reconstruction.
Persistent Identifierhttp://hdl.handle.net/10722/137148
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorLiang, Cen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2011-08-24T04:53:40Z-
dc.date.available2011-08-24T04:53:40Z-
dc.date.issued2008en_HK
dc.identifier.citationThe 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), Funchal, Madeira, Portugal, 22-25 January 2008. In Proceedings of the 3rd International Conference on Computer Vision Theory and Applications, 2008, v. 2, p. 597-604en_HK
dc.identifier.isbn9789898111210-
dc.identifier.urihttp://hdl.handle.net/10722/137148-
dc.description.abstractThe marching cubes algorithm has been widely adopted for extracting a surface mesh from a volumetric description of the visual hull reconstructed from silhouettes. However, typical volumetric descriptions, such as an octree, provide only a binary description about the visual hull. The lack of interpolation information along each voxel edge, which is required by the marching cubes algorithm, usually results in inaccurate and bumpy surface mesh. In this paper, we propose a novel method to efficiently estimate the exact intersections between voxel edges and the visual hull boundary, which replace the missing interpolation information. The method improves both the visual quality and accuracy of the estimated visual hull mesh, while retaining the simplicity and robustness of the volumetric approach. To verify this claim, we present both synthetic and real-world experiments, as well as comparisons with existing volumetric approaches and other approaches targeting at an exact visual hull reconstruction.en_HK
dc.languageeng-
dc.relation.ispartofProceedings of the 3rd International Conference on Computer Vision Theory and Applicationsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectMarching cubesen_HK
dc.subjectReconstructionen_HK
dc.subjectVisual hullen_HK
dc.titleExact visual hull from marching cubesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=9789898111210&volume=2&spage=597&epage=604&date=2008&atitle=Exact+visual+hull+from+marching+cubes-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-57549118408en_HK
dc.identifier.hkuros148738-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57549118408&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage597en_HK
dc.identifier.epage604en_HK
dc.description.otherThe 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), Funchal, Madeira, Portugal, 22-25 January 2008. In Proceedings of the 3rd International Conference on Computer Vision Theory and Applications, 2008, v. 2, p. 597-604-
dc.identifier.scopusauthoridLiang, C=54786617200en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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