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[WDA+06]  The Cartoon Animation Filter

Wang:2006:CAF (Article)
Author(s)Wang J., Drucker S., Agrawala M. and Cohen M.
Title« The Cartoon Animation Filter »
JournalACM Transactions on Graphics, Proceedings of ACM SIGGRAPH 2006 (Boston, MA, July 30--August 3, 2006)
Volume25
Number3
Page(s)1169--1173
Year2006

Abstract
We present the ``Cartoon Animation Filter'', a simple filter that takes an arbitrary input motion signal and modulates it in such a way that the output motion is more ``alive'' or ``animated''. The filter adds a smoothed, inverted, and (sometimes) time shifted version of the second derivative (the acceleration) of the signal back into the original signal. Almost all parameters of the filter are automated. The user only needs to set the desired strength of the filter. The beauty of the animation filter lies in its simplicity and generality. We apply the filter to motions ranging from hand drawn trajectories, to simple animations within PowerPoint presentations, to motion captured DOF curves, to video segmentation results. Experimental results show that the filtered motion exhibits anticipation, follow-through, exaggeration and squash-and-stretch effects which are not present in the original input motion data.

BibTeX code
@article{Wang:2006:CAF,
  optpostscript = {},
  number = {3},
  month = jul,
  author = {Jue Wang and Steven Drucker and Maneesh Agrawala and Michael F.
            Cohen},
  optkey = {},
  optannote = {},
  localfile = {papers/Wang.2006.CAF.pdf},
  optkeywords = {},
  doi = {http://doi.acm.org/10.1145/1141911.1142010},
  optciteseer = {},
  journal = SIGGRAPH2006,
  opturl = {},
  volume = {25},
  optwww = {},
  title = {{T}he {C}artoon {A}nimation {F}ilter},
  abstract = {We present the ``Cartoon Animation Filter'', a simple filter that
              takes an arbitrary input motion signal and modulates it in such a
              way that the output motion is more ``alive'' or ``animated''. The
              filter adds a smoothed, inverted, and (sometimes) time shifted
              version of the second derivative (the acceleration) of the signal
              back into the original signal. Almost all parameters of the filter
              are automated. The user only needs to set the desired strength of
              the filter. The beauty of the animation filter lies in its
              simplicity and generality. We apply the filter to motions ranging
              from hand drawn trajectories, to simple animations within
              PowerPoint presentations, to motion captured DOF curves, to video
              segmentation results. Experimental results show that the filtered
              motion exhibits anticipation, follow-through, exaggeration and
              squash-and-stretch effects which are not present in the original
              input motion data.},
  pages = {1169--1173},
  year = {2006},
}

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