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Topological visual localization using decentralized galois lattices

Zenou, Emmanuel and Ghallab, Malik and Samuelides, Manuel Topological visual localization using decentralized galois lattices. (2004) In: 16th European Conference on Artificial Intelligence, 22-27 Aug 2004, Valencia, Spain .

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Official URL: http://www.dsic.upv.es/ecai2004/


This paper presents a new decentralized method for selecting visual landmarks in a structured environment. Different images, issued from the different places, are analyzed, and primitives are extracted to determine whether or not features are present in the images. Subsequently, landmarks are selected as a combination of these features with a mathematical formalism called Galois - or concept - lattices. The main drawback of the general approach is the exponential complexity of lattice building algorithms. A decentralized approach is therefore defined and detailed here: it leads to smaller lattices, and thus to better performance as well as an improved legibility.

Item Type:Conference or Workshop Item (Poster)
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
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Deposited On:18 Dec 2008 17:05

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