Animating Pictures with Stochastic Motion Textures
Yung-Yu Chuang1 Dan B Goldman1 Ke Colin Zheng1 Brian Curless1 David Salesin1,2 Richard Szeliski21University of Washington 2Microsoft Research
Abstract
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.
Citation
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).
Paper
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)
More Updates