@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},
}