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Conference Paper: Reconstruction of outdoor sculptures from silhouettes under approximate circular motion of an uncalibrated hand-held camera

TitleReconstruction of outdoor sculptures from silhouettes under approximate circular motion of an uncalibrated hand-held camera
Authors
Issue Date2002
Citation
The IAPR International Workshop on Machine Vision Applications (MVA 2002), Nara, Japan, 11-13 December 2002. In Proceedings of IAPR Workshop on Machine Vision Applications, 2002, p. 459-462 How to Cite?
AbstractThis paper presents a novel technique for reconstructing an outdoor sculpture from an uncalibrated image sequence acquired around it using a hand-held camera. The technique introduced here uses only the silhouettes of the sculpture for both motion estimation and model reconstruction, and no corner detection nor matching is necessary. This is very important as most sculptures are composed of smooth textureless surfaces, and hence their silhouettes are very often the only information available from their images. Besides, as opposed to previous works, the technique here does not require the camera motion to be perfectly circular (e.g., turntable sequence). It employs an image rectification step before the circular motion estimation to obtain a rough estimate of the camera motion which is only approximately circular. A refinement process is then applied to obtain the true general motion of the camera. This allows the technique to handle large outdoor sculptures which cannot be rotated on a turntable, making it much more practical and flexible.
Persistent Identifierhttp://hdl.handle.net/10722/137128
ISBN

 

DC FieldValueLanguage
dc.contributor.authorWong, KKY-
dc.contributor.authorCipolla, R-
dc.date.accessioned2011-08-23T03:51:16Z-
dc.date.available2011-08-23T03:51:16Z-
dc.date.issued2002-
dc.identifier.citationThe IAPR International Workshop on Machine Vision Applications (MVA 2002), Nara, Japan, 11-13 December 2002. In Proceedings of IAPR Workshop on Machine Vision Applications, 2002, p. 459-462-
dc.identifier.isbn4-901122-02-9-
dc.identifier.urihttp://hdl.handle.net/10722/137128-
dc.description.abstractThis paper presents a novel technique for reconstructing an outdoor sculpture from an uncalibrated image sequence acquired around it using a hand-held camera. The technique introduced here uses only the silhouettes of the sculpture for both motion estimation and model reconstruction, and no corner detection nor matching is necessary. This is very important as most sculptures are composed of smooth textureless surfaces, and hence their silhouettes are very often the only information available from their images. Besides, as opposed to previous works, the technique here does not require the camera motion to be perfectly circular (e.g., turntable sequence). It employs an image rectification step before the circular motion estimation to obtain a rough estimate of the camera motion which is only approximately circular. A refinement process is then applied to obtain the true general motion of the camera. This allows the technique to handle large outdoor sculptures which cannot be rotated on a turntable, making it much more practical and flexible.-
dc.languageeng-
dc.relation.ispartofProceedings of IAPR Workshop on Machine Vision Applications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleReconstruction of outdoor sculptures from silhouettes under approximate circular motion of an uncalibrated hand-held cameraen_US
dc.typeConference_Paperen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=4-901122-02-9&volume=&spage=459&epage=462&date=2002&atitle=Reconstruction+of+outdoor+sculptures+from+silhouettes+under+approximate+circular+motion+of+an+uncalibrated+hand-held+camera-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.emailCipolla, R: cipolla@eng.cam.ac.uk-
dc.description.naturepostprint-
dc.identifier.hkuros76162-
dc.identifier.spage459-
dc.identifier.epage462-
dc.description.otherThe IAPR International Workshop on Machine Vision Applications (MVA 2002), Nara, Japan, 11-13 December 2002. In Proceedings of IAPR Workshop on Machine Vision Applications, 2002, p. 459-462-

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