• DocumentCode
    2480442
  • Title

    Beyond object constancy

  • Author

    Harnad, Stevan

  • Author_Institution
    Cognitive Sci. Centre, Southampton Univ., UK
  • fYear
    1998
  • fDate
    35838
  • Firstpage
    42401
  • Lastpage
    42403
  • Abstract
    The author amplifies a point made by Pfeifer (1998) about the “fundamental problem of learning category distinctions”. Object constancy (the capacity to see an object as being of constant size and shape despite variation in retinal position and distance from the observer) is certainly one of the most fundamental category invariants that the brain is capable of detecting. The author shows how the principle of detecting and extracting invariants under sensorimotor transformations during sensorimotor interactions with objects can be generalised to more abstract invariants, extracted under more abstract transformations
  • Keywords
    visual perception; abstract invariants; category distinction learning; invariant detection; invariant extraction; object constancy; retinal distance; retinal position; sensorimotor interactions; sensorimotor transformations;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Self-Learning Robots II: Bio-robotics (Digest No. 1998/248), IEE
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19980267
  • Filename
    668384