DocumentCode :
353781
Title :
Object hypothesis support in the context of knowledge-based fuzzy-possibilistic fusion of image descriptions
Author :
Raptis, Sotiris N. ; Tzafestas, S.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
1
fYear :
2000
fDate :
10-13 July 2000
Abstract :
Single images are often not enough to reveal all of the information contained in them, either because of the measurement ambiguity or because of the observer´s imperfect knowledge. Integrating or fusing many knowledge sources is a recent trend in the pattern recognition field. In the work presented in this paper, fuzzy logic, which has been established to be a successful methodology in dealing with imprecision, provides a general conceptual framework and an analytical tool as well.
Keywords :
fuzzy logic; image processing; knowledge based systems; possibility theory; sensor fusion; uncertainty handling; visual databases; vocabulary; analytical tool; conceptual framework; fuzzy feature modelling; fuzzy logic; image descriptions; image descriptors; imperfect observer knowledge; imprecision; knowledge source integration; knowledge-based fuzzy-possibilistic fusion; measurement ambiguity; object hypothesis support; pattern recognition; Cameras; Electric variables measurement; Image fusion; Image recognition; Image segmentation; Intelligent robots; Knowledge engineering; Laboratories; Pattern recognition; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
Type :
conf
DOI :
10.1109/IFIC.2000.862458
Filename :
862458
Link To Document :
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