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dc.contributor.authorÖnder O.en_US
dc.contributor.authorGüdükbay U.en_US
dc.contributor.authorÖzgüç, B.en_US
dc.contributor.authorErdem, T.en_US
dc.contributor.authorErdem Ç.en_US
dc.contributor.authorÖzkan, M.en_US
dc.date.accessioned2016-02-08T11:38:21Z
dc.date.available2016-02-08T11:38:21Z
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/11693/26873
dc.description.abstractTwo methods for keyframe reduction of motion capture data are presented. Keyframe reduction of motion capture data enables animators to easily edit motion data with smaller number of keyframes. One of the approaches achieves keyframe reduction and noise removal simultaneously by fitting a curve to the motion information using dynamic programming. The other approach uses curve simplification algorithms on the motion capture data until a predefined threshold of number of keyframes is reached. Although the error rate varies with different motions, the results show that curve fitting with dynamic programming performs as good as curve simplification methods. ©2008 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2008 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2008 Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/3DTV.2008.4547866en_US
dc.subjectCurve fittingen_US
dc.subjectCurve simplificationen_US
dc.subjectKeyframe reductionen_US
dc.subjectMotion captureen_US
dc.subjectNoise filteringen_US
dc.subjectAnimationen_US
dc.subjectDigital televisionen_US
dc.subjectDynamic programmingen_US
dc.subjectError analysisen_US
dc.subjectMathematical programmingen_US
dc.subjectNumerical analysisen_US
dc.subjectSystems engineeringen_US
dc.subjectCurve fittingen_US
dc.subjectCurve simplificationen_US
dc.subjectKeyframe reductionen_US
dc.subjectMotion captureen_US
dc.subjectNoise filteringen_US
dc.subjectTelevision broadcastingen_US
dc.titleKeyframe reduction techniques for motion capture dataen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage293en_US
dc.citation.epage296en_US
dc.identifier.doi10.1109/3DTV.2008.4547866en_US


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