Keyframe reduction techniques for motion capture data
Author
Önder, Onur
Güdükbay, Uğur
Özgüç, Bülent
Erdem, T.
Erdem, Ç.
Özkan, M.
Date
2008-05Source Title
2008 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2008 Proceedings
Publisher
IEEE
Pages
293 - 296
Language
English
Type
Conference PaperItem Usage Stats
145
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Abstract
Two 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.
Keywords
Curve fittingCurve simplification
Keyframe reduction
Motion capture
Noise filtering
Animation
Digital television
Dynamic programming
Error analysis
Mathematical programming
Numerical analysis
Systems engineering
Television broadcasting