Önder, OnurGüdükbay, UğurÖzgüç, BülentErdem, T.Erdem, Ç.Özkan, M.2016-02-082016-02-082008-05http://hdl.handle.net/11693/26873Date of Conference: 28-30 May 2008Conference name: 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008Two 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.EnglishCurve fittingCurve simplificationKeyframe reductionMotion captureNoise filteringAnimationDigital televisionDynamic programmingError analysisMathematical programmingNumerical analysisSystems engineeringTelevision broadcastingConference Paper10.1109/3DTV.2008.4547866