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Abstract: Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusion of new, uncertain and partial sensor measures possible. It is based on a mixture of stochastic and set membership models. We consider that, for a large class of applications, an approximated representation is sufficient to build a preliminary map of the scene. Our approximation mainly results in ellipsoidal... (Update)
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BibTeX entry: (Update)
@inproceedings{ flandin02visual,
author = "Gregory Flandin and Fran\c{c}ois Chaumette",
title = "Visual Data Fusion for Objects Localization by Active Vision",
booktitle = "ECCV 2002",
series = "LNCS",
volume = "2353",
pages = "312--326",
year = "2002",
url = "citeseer.ist.psu.edu/flandin02visual.html" }
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