Dynamic shape and appearance models

Doretto, G. and Soatto, S.
Dynamic shape and appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(12):2006–2019, IEEE Computer Society, Los Alamitos, CA, USA, 2006.

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Abstract

We propose a model of the joint variation of shape and appearance of portions of an image sequence. The model is conditionally linear, and can be thought of as an extension of active appearance models to exploit the temporal correlation of adjacent image frames. Inference of the model parameters can be performed efficiently using established numerical optimization techniques borrowed from finite-element analysis and system identification techniques.

@ARTICLE{dorettoS06IEEEtpami,
  author = {Doretto, G. and Soatto, S.},
  title = {Dynamic shape and appearance models},
  journal = IEEEtpami,
  year = {2006},
  volume = {28},
  pages = {2006--2019},
  number = {12},
  note = {\btohremove{\textsf{\textbf{IF: 3.818}}}},
  bib2html_pubtype = {Journals},
  bib2html_rescat = {Dynamic Textures, Visual Motion Analysis, Shape and Appearance Modeling,
	Image Based Rendering, Registration from Dynamic Textures},
  abstract = {We propose a model of the joint variation of shape and appearance
	of portions of an image sequence. The model is conditionally linear,
	and can be thought of as an extension of active appearance models
	to exploit the temporal correlation of adjacent image frames. Inference
	of the model parameters can be performed efficiently using established
	numerical optimization techniques borrowed from finite-element analysis
	and system identification techniques.},
  address = {Los Alamitos, CA, USA},
  doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.243},
  file = {dorettoS06IEEEtpami.pdf:doretto\\journal\\dorettoS06IEEEtpami.pdf:PDF},
  issn = {0162-8828},
  owner = {doretto},
  pdf = {doretto\journal\dorettoS06IEEEtpami.pdf},
  publisher = {IEEE Computer Society},
  timestamp = {2006.11.24}
}

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