Animating Pictures with Stochastic Motion Textures

Yung-Yu Chuang1     Dan B Goldman1     Ke Colin Zheng1     Brian Curless1     David Salesin1,2     Richard Szeliski2

1University of Washington     2Microsoft Research    

In this paper, we explore the problem of enhancing still pictures with subtly animated motions. We limit our domain to scenes containing passive elements that respond to natural forces in some fashion. We use a semi-automatic approach, in which a human user segments the scene into a series of layers to be individually animated. Then, a .stochastic motion texture. is automatically synthesized using a spectral method, i.e., the inverse Fourier transform of a filtered noise spectrum. The motion texture is a time-varying 2D displacement map, which is applied to each layer. The resulting warped layers are then recomposited to form the animated frames. The result is a looping video texture created from a single still image, which has the advantages of being more controllable and of generally higher image quality and resolution than a video texture created from a video source. We demonstrate the technique on a variety of photographs and paintings.

Yung-Yu Chuang, Dan B Goldman, Ke Colin Zheng, Brian Curless, David Salesin, and Richard Szeliski, ACM Transactions on Graphics, Vol 24, No 3, to appear, (Proceedings of ACM SIGGRAPH 2005, July 2005, Los Angeles).

UW CSE Technical Report UW-CSE-04-04-02 (8.7MB PDF)
SIGGRAPH 2005 Paper (1.3MB PDF)

Result video
720x480 WMV Movie (139 MB)

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