The Cartoon Animation Filter

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The Cartoon Animation Filter (2006)

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by Jue Wang Steven , Steven M. Drucker , Maneesh Agrawala , Michael F. Cohen

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ACM Transactions on Graphics

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@ARTICLE{Steven06thecartoon,
    author = {Jue Wang Steven and Steven M. Drucker and Maneesh Agrawala and Michael F. Cohen},
    title = {The Cartoon Animation Filter},
    journal = {ACM Transactions on Graphics},
    year = {2006},
    volume = {25},
    pages = {1169--1173}
}

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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.

Keyphrases

cartoon animation filter original input motion data powerpoint presentation dof curve experimental result second derivative desired strength output motion original signal arbitrary input motion signal hand drawn trajectory animation filter segmentation result filtered motion exhibit anticipation simple animation simple filter squash-and-stretch effect

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