DocumentCode :
3628084
Title :
Keyframe Reduction Techniques for Motion Capture Data
Author :
Onur Onder;Uggur Gudukbay;Bulent Ozguc;Tanju Erdem;Cigdem Erdem;Mehmet Ozkan
Author_Institution :
Bilkent University, Department of Computer Engineering, Bilkent, Ankara, Turkey
fYear :
2008
Firstpage :
293
Lastpage :
296
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.
Keywords :
"Animation","Curve fitting","Dynamic programming","Iterative algorithms","Data mining","Noise reduction","Working environment noise","Motion control","Data engineering","OFDM modulation"
Publisher :
ieee
Conference_Titel :
3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008
ISSN :
2161-2021
Print_ISBN :
978-1-4244-1760-5
Electronic_ISBN :
2161-203X
Type :
conf
DOI :
10.1109/3DTV.2008.4547866
Filename :
4547866
Link To Document :
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