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An attentional prototype for early vision

  • Sean M. Culhane
  • John K. Tsotsos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

Researchers have long argued that an attentional mechanism is required to perform many vision tasks. This paper introduces an attentional prototype for early visual processing. Our model is composed of a processing hierarchy and an attention beam that traverses the hierarchy, passing through the regions of greatest interest and inhibiting the regions that are not relevant. The type of input to the prototype is not limited to visual stimuli. Simulations using high-resolution digitized images were conducted, with image intensity and edge information as inputs to the model. The results confirm that this prototype is both robust and fast, and promises to be essential to any real-time vision system.

Keywords

Receptive Field Input Layer Edge Information Computer Vision System Selective Visual Attention 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Sean M. Culhane
    • 1
  • John K. Tsotsos
    • 1
  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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