Keyframe Reduction Techniques for Motion Capture Data

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 t...

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Bibliographic Details
Main Authors: Onder, O., Gudukbay, U., Ozguc, B., Erdem, T., Erdem, C., Ozkan, M.
Format: Conference Proceeding
Language:English
Subjects:
Animation
Curve fitting
curve simplification
Data engineering
Data mining
Dynamic programming
Iterative algorithms
keyframe reduction
Motion capture
Motion control
noise filtering
Noise reduction
OFDM modulation
Working environment noise
Online Access:Request full text
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Description
Summary: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.
ISSN:2161-2021
2161-203X
DOI:10.1109/3DTV.2008.4547866