• 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