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Conference Paper: Robust and unbiased foreground / background energy for multi-view stereo

TitleRobust and unbiased foreground / background energy for multi-view stereo
Authors
KeywordsForeground / background energy
Graph-cuts
Multi-view stereo
Photo-consistency energy
Issue Date2011
Citation
The 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?
Abstract
This 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
Persistent Identifierhttp://hdl.handle.net/10722/137651
ISBN
References

 

Author Affiliations
  1. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorChen, Zen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2011-08-26T14:30:32Z-
dc.date.available2011-08-26T14:30:32Z-
dc.date.issued2011en_HK
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. 451-458en_HK
dc.identifier.isbn9789898425478-
dc.identifier.urihttp://hdl.handle.net/10722/137651-
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.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.en_HK
dc.languageengen_US
dc.relation.ispartofProceedings of the International Conference on Computer Vision Theory and Application, VISAPP 2011en_HK
dc.subjectForeground / background energyen_HK
dc.subjectGraph-cutsen_HK
dc.subjectMulti-view stereoen_HK
dc.subjectPhoto-consistency energyen_HK
dc.titleRobust and unbiased foreground / background energy for multi-view stereoen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=9789898425478&volume=&spage=451&epage=458&date=2011&atitle=Robust+and+unbiased+foreground+/+background+energy+for+multi-view+stereo-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-79960175596en_HK
dc.identifier.hkuros191681en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960175596&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage451en_HK
dc.identifier.epage458en_HK
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.scopusauthoridChen, Z=36933820200en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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