Towards plenoptic dynamic textures

Doretto, G. and Soatto, S.
Towards plenoptic dynamic textures. In Proceedings of the 3rd International Workshop on Texture Analysis and Synthesis, pp. 25–30, Nice, France, October 2003.

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Abstract

We present a technique to infer a model of the spatio-temporal statistics of a collection of images of dynamic scenes seen from a moving camera. We use a time-variant linear dynamical system to jointly model the statistics of the video signal and the moving vantage point. We propose three approaches to inference, the first based on the plenoptic function, the second based on interpolating linear dynamical models, the third based on approximating the scene as piecewise planar. For the last two approaches, we also illustrate the potential of the proposed techniques with a number of experiments. The resulting algorithms could be useful for video editing where the motion of the vantage point can be controlled interactively, as well as to perform stabilized synthetic generation of video sequences.

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  author = {Doretto, G. and Soatto, S.},
  title = {Towards plenoptic dynamic textures},
  booktitle = {Proceedings of the 3rd International Workshop on Texture Analysis
	and Synthesis},
  year = {2003},
  pages = {25--30},
  address = {Nice, France},
  month = oct,
  note = {\btohremove{\textsf{\textbf{AR: 65.6\%}}}},
  bib2html_pubtype = {Refereed Conferences},
  bib2html_rescat = {Dynamic Textures, Image Based Rendering, Registration from Dynamic
	Textures},
  abstract = {We present a technique to infer a model of the spatio-temporal statistics
	of a collection of images of dynamic scenes seen from a moving camera.
	We use a time-variant linear dynamical system to jointly model the
	statistics of the video signal and the moving vantage point. We propose
	three approaches to inference, the first based on the plenoptic function,
	the second based on interpolating linear dynamical models, the third
	based on approximating the scene as piecewise planar. For the last
	two approaches, we also illustrate the potential of the proposed
	techniques with a number of experiments. The resulting algorithms
	could be useful for video editing where the motion of the vantage
	point can be controlled interactively, as well as to perform stabilized
	synthetic generation of video sequences.},
  file = {dorettoS03texture.pdf:doretto\\conference\\dorettoS03texture.pdf:PDF},
  owner = {doretto},
  pdf = {doretto\conference\dorettoS03texture.pdf}
}

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