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Conference Paper: Robust and unbiased foreground / background energy for multi-view stereo
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TitleRobust and unbiased foreground / background energy for multi-view stereo
 
AuthorsChen, Z1
Wong, KYK1
 
KeywordsForeground / background energy
Graph-cuts
Multi-view stereo
Photo-consistency energy
 
Issue Date2011
 
CitationThe International Joint Conference on Computer Vision Theory and Applications (VISAPP 2011), Vilamoura, Algarve, Portugal, 5-7 March 2011. In Proceedings of VISAPP, 2011, p. 451-458 [How to Cite?]
 
AbstractThis paper revisits the graph-cuts based approach for solving the multi-view stereo problem, and proposes a novel foreground / background energy which is shown to be unbiased and robust against noisy depth maps. Unlike most existing works which focus on deriving a robust photo-consistency energy, this paper targets at deriving a robust and unbiased foreground / background energy. By introducing a novel data-dependent foreground / background energy, we show that it is possible to recover the object surface from noisy depth maps even in the absence of the photo-consistency energy. This demonstrates that the foreground / background energy is equally important as the photo-consistency energy in graph-cuts based methods. Experiments on real data sequences further show that high quality reconstructions can be achieved using our proposed foreground / background energy with a very simple photo-consistency energy.
 
DescriptionArea 3 - Motion, Tracking and Stereo Vision: Paper no. 13
VISAPP is part of VISIGRAPP - International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
 
ISBN9789898425478
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorChen, Z
 
dc.contributor.authorWong, KYK
 
dc.date.accessioned2011-08-26T14:30:32Z
 
dc.date.available2011-08-26T14:30:32Z
 
dc.date.issued2011
 
dc.description.abstractThis paper revisits the graph-cuts based approach for solving the multi-view stereo problem, and proposes a novel foreground / background energy which is shown to be unbiased and robust against noisy depth maps. Unlike most existing works which focus on deriving a robust photo-consistency energy, this paper targets at deriving a robust and unbiased foreground / background energy. By introducing a novel data-dependent foreground / background energy, we show that it is possible to recover the object surface from noisy depth maps even in the absence of the photo-consistency energy. This demonstrates that the foreground / background energy is equally important as the photo-consistency energy in graph-cuts based methods. Experiments on real data sequences further show that high quality reconstructions can be achieved using our proposed foreground / background energy with a very simple photo-consistency energy.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.descriptionArea 3 - Motion, Tracking and Stereo Vision: Paper no. 13
 
dc.descriptionVISAPP is part of VISIGRAPP - International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
 
dc.description.otherThe International Joint Conference on Computer Vision Theory and Applications (VISAPP 2011), Vilamoura, Algarve, Portugal, 5-7 March 2011. In Proceedings of VISAPP, 2011, p. 451-458
 
dc.identifier.citationThe International Joint Conference on Computer Vision Theory and Applications (VISAPP 2011), Vilamoura, Algarve, Portugal, 5-7 March 2011. In Proceedings of VISAPP, 2011, p. 451-458 [How to Cite?]
 
dc.identifier.epage458
 
dc.identifier.hkuros191681
 
dc.identifier.isbn9789898425478
 
dc.identifier.openurl
 
dc.identifier.scopuseid_2-s2.0-79960175596
 
dc.identifier.spage451
 
dc.identifier.urihttp://hdl.handle.net/10722/137651
 
dc.languageeng
 
dc.relation.ispartofProceedings of the International Conference on Computer Vision Theory and Application, VISAPP 2011
 
dc.relation.referencesReferences in Scopus
 
dc.subjectForeground / background energy
 
dc.subjectGraph-cuts
 
dc.subjectMulti-view stereo
 
dc.subjectPhoto-consistency energy
 
dc.titleRobust and unbiased foreground / background energy for multi-view stereo
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong