• DocumentCode
    1742351
  • Title

    A network mechanism for the determination of apparent orientation

  • Author

    Sakai, Ko

  • Author_Institution
    Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    955
  • Abstract
    Proposes a network mechanism for the determination of apparent tilt based on human psychophysics and physiology. The network model is capable of determining the apparent orientation of bars, including those in various types of tilt illusion. The model extracts local orientation information by VI-cell-like units with a Gabor-like receptive field. The activities of the units are grouped together based on collinear synchronization observed in a VI superficial layer. The model shows good quantitative agreement with human responses in the determination of the apparent orientations of bars in a variety of bar junctions
  • Keywords
    image segmentation; neural nets; physiological models; visual perception; Gabor-like receptive field; VI superficial layer; VI-cell-like units; apparent orientation; apparent tilt; collinear synchronization; local orientation information; network mechanism; tilt illusion; Bars; Brain modeling; Computer networks; Computer vision; Data mining; Humans; Mechanical factors; Painting; Physiology; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903703
  • Filename
    903703