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dc.contributor.authorCHEN, Zen_US
dc.contributor.authorWANG, CMen_US
dc.contributor.authorHO, SYen_US
dc.date.accessioned2014-12-08T15:04:32Z-
dc.date.available2014-12-08T15:04:32Z-
dc.date.issued1993-05-01en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://hdl.handle.net/11536/3027-
dc.description.abstractIn this paper we shall present a new method for camera parameter estimation using an arbitrary planar calibration object. We begin with an approximate model for the perspective view and give a parameter-free normalized-line-segment-ratio relationship between the corresponding reference and sensed views. This representation makes parameter decoupling possible and reduces the library dimension from six to one. Then the estimation problem can be viewed as a library search problem. Various mechanisms are provided to reduce the library search time, including (a) library partition by clustering, (b) sensed cluster identification by binary search, and (c) sequential testing for view matching using sorted features. In addition, feature perturbation is also considered to achieve better robustness against feature noise. Both computer-generated and real data are included in experiments, illustrating how our method works.en_US
dc.language.isoen_USen_US
dc.subjectCAMERA PARAMETER ESTIMATIONen_US
dc.subjectCALIBRATION OBJECTen_US
dc.subjectLIBRARY SEARCHen_US
dc.subjectLIBRARY PARTITIONen_US
dc.subjectCLUSTERINGen_US
dc.subjectRANKING FUNCTIONen_US
dc.subjectFEATURE PERTURBATIONen_US
dc.titleAN EFFECTIVE SEARCH APPROACH TO CAMERA PARAMETER-ESTIMATION USING AN ARBITRARY PLANAR CALIBRATION OBJECTen_US
dc.typeArticleen_US
dc.identifier.journalPATTERN RECOGNITIONen_US
dc.citation.volume26en_US
dc.citation.issue5en_US
dc.citation.spage655en_US
dc.citation.epage666en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.identifier.wosnumberWOS:A1993LK64400001-
dc.citation.woscount0-
Appears in Collections:Articles