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      • Department of Computer Engineering
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      Keyframe reduction techniques for motion capture data

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      Author
      Önder, Onur
      Güdükbay, Uğur
      Özgüç, Bülent
      Erdem, T.
      Erdem, Ç.
      Özkan, M.
      Date
      2008-05
      Source 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 Paper
      Item Usage Stats
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      122
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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 fitting
      Curve simplification
      Keyframe reduction
      Motion capture
      Noise filtering
      Animation
      Digital television
      Dynamic programming
      Error analysis
      Mathematical programming
      Numerical analysis
      Systems engineering
      Television broadcasting
      Permalink
      http://hdl.handle.net/11693/26873
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/3DTV.2008.4547866
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      • Department of Computer Engineering 1398
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