Object recognition with imperfect perception and redundant description

Authors:
Claude Barrouil;Jérôme Lemaire
Affiliations:
Centre d'Études et de Recherches de Toulouse, Département d'Études et de Recherches en Automatique, Toulouse cedex, France;Centre d'Études et de Recherches de Toulouse, Département d'Études et de Recherches en Automatique, Toulouse cedex, France
Venue:
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Year:
1996

Citing 2
Cited 1

Data fusion in robotics and machine intelligence

Data fusion in robotics and machine intelligence
Use of a priori Descriptions in a High-Level Language and Management of the Uncertainty in a Scene Recognition System

ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270

Dealing with uncertainty in situation assessment: towards a symbolic approach

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

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Abstract

This paper deals with a scene recognition system in a robotics context. The general problem is to match images with a priori descriptions. A typical mission would consist in identifying an object in an installation with a vision system situated at the end of a manipulator and with a human operator provided description, formulated in a pseudonatural language, and possibly redundant. The originality of this work comes from the nature of the description, from the special attention given to the management of imprecision and uncertainty in the interpretation process and from the way to assess the description redundancy so as to reinforce the overall matching likelihood.