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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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International conference with reviewing committee

Bottom-up and top-down object matching using asynchronous agents and a contrario principles [PDF]
Nicolas Burrus [LIRIS] , Thierry Bernard [ENSTA ParisTech] , Jean-Michel Jolion [LIRIS]
5/2008
Dans International Conference on Computer Vision Systems, Antonios Gasteratos, Markus Vincze, John Tsotsos ed. Santorini. pp. 1-10. Lecture Notes in Computer Science 5008. Springer . ISBN 978-3-540-79546-.

HAL : hal-01500849

Abstract

We experiment a vision architecture for object matching based on a hierarchy of independent agents running asynchronously in parallel. Agents communicate through bidirectional signals, enabling the mix of top-down and bottom-up influences. Following the so-called a contrario principle, each signal is given a strength according to the statistical relevance of its associated visual data. By handling most important signals first, the system focuses on most promising hypotheses and provides relevant results as soon as possible. Compared to an equivalent feed-forward and sequential algorithm, our architecture is shown capable of handling more visual data and thus reach higher detection rates in less time.

BibTex

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@InProceedings{Liris-3445,
  title         = {{Bottom-up and top-down object matching using asynchronous 
    agents and a contrario principles
}},
  author        = {Nicolas {Burrus} and Thierry {Bernard} and Jean-Michel 
    {Jolion}},
  year          = {2008},
  month         = may,
  booktitle     = {International Conference on Computer Vision Systems},
  series        = {Lecture Notes in Computer Science},
  pages         = {1-10}, 
  editor        = {Antonios Gasteratos, Markus Vincze, John Tsotsos}, 
  publisher     = {Springer}, 
  isbn          = {978-3-540-79546-}, 
  language      = {en},
  url           = {http://liris.cnrs.fr/publis/?id=3445}
}