Title :
Constraint-based object recognition in multisensor systems
Author :
Neira, José ; Montano, Luis ; Tardós, Juan D.
Author_Institution :
Dpto. de Ingenieria Electr. e Inf., Zaragoza Univ., Spain
Abstract :
A general procedure to compute and validate geometric constraints between uncertain geometric features is presented. Uncertain geometric information is represented using the symmetries and perturbation model. The procedure obtains the geometric relations between any pair of geometric elements in a systematic way, with an explicit consideration of the uncertainty due to the use of different sensors. It is shown how to use information regarding geometric relations, not only in the validation of hypotheses during the recognition process, but also for the selection of observations that allow the determination of the object location
Keywords :
image recognition; sensor fusion; constraint-based object recognition; geometric constraints; multisensor systems; perturbation model; symmetries; uncertain geometric features; uncertainty; Estimation error; Information filtering; Information filters; Multisensor systems; Object recognition; Probability distribution; Sensor phenomena and characterization; Sensor systems; Solid modeling; Uncertainty;
Conference_Titel :
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-3450-2
DOI :
10.1109/ROBOT.1993.291859
