DocumentCode :
2923349
Title :
Foveal machine vision systems
Author :
Bandera, Cesar ; Scott, Peter D.
Author_Institution :
Amherst Syst. Inc., Buffalo, NY, USA
fYear :
1989
fDate :
14-17 Nov 1989
Firstpage :
596
Abstract :
A class of machine vision systems is proposed, called foveal vision systems. These systems, modeled after advanced biological vision, feature space-variant (variable-resolution) imager topologies and a closed-loop system architecture. The imager topology is characterized by resolution which is high at the center of the sampling lattice and which decreases with distance from the center. The central axis is controlled by feedback from higher-level algorithms, allowing the allocation of sampling resources to the region(s) of interest and resulting in greater relevant information from the imager yet permitting considerable reduction in data. Preliminary investigations have demonstrated reductions in data structure size and computations of several orders of magnitude relative to conventional implementations. The savings factors increase with field-of-view and resolution
Keywords :
computer vision; closed-loop system architecture; foveal vision systems; machine vision; sampling resources; space variant imager topologies; Biological system modeling; Centralized control; Data structures; Feedback; Image resolution; Image sampling; Lattices; Machine vision; Resource management; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location :
Cambridge, MA
Type :
conf
DOI :
10.1109/ICSMC.1989.71367
Filename :
71367
Link To Document :
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