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Conference Paper: Camera calibration from symmetry

TitleCamera calibration from symmetry
Authors
Issue Date2000
PublisherSpringer-Verlag.
Citation
The 9th IMA Conference on the Mathematics of Surfaces, Cambridge, U.K., 4-7 September 2000. In Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, 2000, p. 214-226 How to Cite?
AbstractThis paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e. aspect ratio, focal length and principal point) of a camera, and is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique has been introduced which is based on the symmetry of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g. bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that 2 images of surface of revolution will provide enough information for determining the aspect ratio, focal length and principal point of a camera. An analytical error model is developed, providing variances and confidence intervals of the parameters estimated. The techniques presented in this paper have been implemented and tested with both synthetic and real data. Experiment results show that the camera calibration method presented here is both practical and accurate.
Persistent Identifierhttp://hdl.handle.net/10722/137126
ISBN

 

DC FieldValueLanguage
dc.contributor.authorWong, KKY-
dc.contributor.authorMendonca, PRS-
dc.contributor.authorCipolla, R-
dc.date.accessioned2011-08-23T02:11:31Z-
dc.date.available2011-08-23T02:11:31Z-
dc.date.issued2000-
dc.identifier.citationThe 9th IMA Conference on the Mathematics of Surfaces, Cambridge, U.K., 4-7 September 2000. In Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, 2000, p. 214-226-
dc.identifier.isbn1-85233-358-8-
dc.identifier.urihttp://hdl.handle.net/10722/137126-
dc.description.abstractThis paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e. aspect ratio, focal length and principal point) of a camera, and is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique has been introduced which is based on the symmetry of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g. bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that 2 images of surface of revolution will provide enough information for determining the aspect ratio, focal length and principal point of a camera. An analytical error model is developed, providing variances and confidence intervals of the parameters estimated. The techniques presented in this paper have been implemented and tested with both synthetic and real data. Experiment results show that the camera calibration method presented here is both practical and accurate.-
dc.languageeng-
dc.publisherSpringer-Verlag.-
dc.relation.ispartofProceedings of the 9th IMA Conference on the Mathematics of Surfaces-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleCamera calibration from symmetryen_US
dc.typeConference_Paperen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1-85233-358-8&volume=&spage=214&epage=226&date=2000&atitle=Camera+calibration+from+symmetry-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.description.naturepostprint-
dc.identifier.hkuros69432-
dc.identifier.spage214-
dc.identifier.epage226-
dc.description.otherThe 9th IMA Conference on the Mathematics of Surfaces, Cambridge, U.K., 4-7 September 2000. In Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, 2000, p. 214-226-

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