Title :
Using possibility theory in perception: an application in artificial vision
Author :
Deveughele, Stephane ; Dubuisson, Bernard
Author_Institution :
Centre de Recherches de Royallieu, Univ. de Technol. de Compiegne, France
Abstract :
The authors briefly present the concepts of possibility theory, which are used to tackle the data fusion problem. Three combination behaviors are examined: conjunction, tradeoff and disjunction. A gradual fusion rule is considered. A two-dimensional application in artificial vision is presented. The problem relates to locating a point in a plane with several cameras
Keywords :
computer vision; fuzzy set theory; probability; sensor fusion; artificial vision; conjunction; data fusion; disjunction; gradual fusion rule; perception; possibility theory; tradeoff; Aggregates; Calculus; Cameras; Explosions; Fuzzy sets; Measurement uncertainty; Possibility theory; Probability; Sensor systems and applications;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327548
