“The cartoon animation filter” by Wang, Drucker, Agrawala and Cohen

  • ©Jue Wang, Steven Drucker, Maneesh Agrawala, and Michael F. Cohen

Conference:


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Title:

    The cartoon animation filter

Presenter(s)/Author(s):



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.

References:


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