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Proceedings Paper

Stochastic focusing to edge detection from interest points
Author(s): Kafia Zemirli; Bertrand Zavidovique
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Paper Abstract

We present in this paper a stochastic approach for indoor scenes exploration. A major problem in this context is to find and characterize appropriate local features for performing the analysis at the object level. In the present application these features are essentially interest points like corners and vertices, the strategies we have defined are based on direct processing images and collecting evidence to support a specified hypothesis about a scene. This is managed efficiently to by using a probabilistic approach to selecting and grouping fixations points. Opposed to classical solutions we have interested in processing only useful information, we look for this information guided by the local observations in the grouping process.

Paper Details

Date Published: 25 June 1999
PDF: 9 pages
Proc. SPIE 3816, Mathematical Modeling, Bayesian Estimation, and Inverse Problems, (25 June 1999); doi: 10.1117/12.351303
Show Author Affiliations
Kafia Zemirli, Univ. de Paris-Sud (France)
Bertrand Zavidovique, Univ. de Paris-Sud (France)


Published in SPIE Proceedings Vol. 3816:
Mathematical Modeling, Bayesian Estimation, and Inverse Problems
Françoise J. Prêteux; Ali Mohammad-Djafari; Edward R. Dougherty, Editor(s)

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