• DocumentCode
    1298896
  • Title

    Rapid discrimination of visual patterns

  • Author

    Bergen, James R. ; Julesz, Bela

  • Author_Institution
    Bell Labs., Murray Hill, NJ, USA
  • Issue
    5
  • fYear
    1983
  • Firstpage
    857
  • Lastpage
    863
  • Abstract
    Experiments involving the rapid discrimination of visual patterns are used to infer the spatial information available to an observer within the first few hundred ms of inspection. Eye movements are prevented by a very brief presentation of the stimulus, and the inspection interval is terminated by a presentation of a masking pattern. It is shown that detection of a single vertical target line segment, embedded in an array of differently oriented background segments, improves with the increase of mask delay. The reduction of the area in which the target may lie reduces the inspection time that is required to determine the target´s presence or absence. The phenomena are invariant under changes of the spatial scale within the fovea and parafovea. These results are interpreted in the context of a model in which the diameter of the area which can be searched in parallel is proportional to the distance in a feature space between the target and background elements. The geometry of this feature space is similar to the functional architecture of the visual cortex. A theory of texture perception based on a qualitative all-or-none feature space of textons is described. A quantitative model that is shown to be essentially equivalent to the previous theory in the limiting case of very large feature differences is proposed.
  • Keywords
    pattern recognition; visual perception; fovea; masking pattern; parafovea; qualitative all-or-none feature space; rapid discrimination; spatial information; textons; texture perception; visual patterns; Arrays; Associative memory; Biological system modeling; Cybernetics; Inspection; Observers; Visualization;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1983.6313080
  • Filename
    6313080