Animating pictures with stochastic motion textures
Yung-Yu Chuang, Dan B Goldman, Ke Colin Zheng, Brian Curless, David H. Salesin, Richard Szeliski
In ACM Transactions on Graphics, 24(3), August 2005.
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.
Keyword(s): animation, image-based animation, image-based rendering, naturalphenomena, physical simulation, video texture
Article URL: http://doi.acm.org/10.1145/1073204.1073273
BibTeX format:
@article{Chuang:2005:APW,
  author = {Yung-Yu Chuang and Dan B Goldman and Ke Colin Zheng and Brian Curless and David H. Salesin and Richard Szeliski},
  title = {Animating pictures with stochastic motion textures},
  journal = {ACM Transactions on Graphics},
  volume = {24},
  number = {3},
  pages = {853--860},
  month = aug,
  year = {2005},
}
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