DocumentCode :
2315859
Title :
Use of a priori descriptions in a high-level language and management of the uncertainty in a scene recognition system
Author :
Lemaire, Jérôme
Author_Institution :
Dept. d´´Automatique, Centre de Etudes et de Recherches, Toulouse, France
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
560
Abstract :
This paper presents a scene recognition system in a 3D robotic context. The problem of “scene recognition” is presented as the matching of images with a priori descriptions given in a high level language. The mission consists in the identification of the position of an object in a scene with a vision system situated at the end of a manipulator. The position of the object is given by the human operator in a pseudo-natural language and the environment is only known through the fuzzy hints of the mission description. The use of a priori description in high level language and the particular aspects of the scene recognition method are presented. The first results of the complete system are given
Keywords :
fuzzy set theory; high level languages; image matching; object recognition; robot vision; uncertainty handling; fuzzy constraint satisfaction; fuzzy pattern matching; high-level language; identification; image matching; mission description; robot vision; scene interpretation; scene recognition system; Elbow; High level languages; Humans; Image recognition; Layout; Machine vision; Object detection; Robots; Sensor phenomena and characterization; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546088
Filename :
546088
Link To Document :
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