• DocumentCode
    1749042
  • Title

    How does our neural system represent an object in brain (Recognition-by-Element)

  • Author

    Wang, Tianzhen

  • Author_Institution
    Digital Image Process. Lab., Wuhan Univ. of Technol., China
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    103
  • Abstract
    In the paper a theory of human image understanding, Recognition-by-Element (RBE), is presented that suggests that the representation of an object may be a set that consists of many members, called elements, most of them are 2D projections (images) of the 3D object to the retina from a specific viewpoint, in specific illumination, specific background, and so on, these 2D images encoding, storing, and retrieving globally, the rest are other sensor inputs evoked by the object, such as voices, tastes, smells, tactilities, etc. The model can explain the implicit memory, perceptual constancies, hand and face detectors, and the cases of object recognition impairment. A computer program has been developed to simulate the RBE, the result is satisfactory
  • Keywords
    brain models; image segmentation; neurophysiology; object recognition; 2D projections; 3D object; Recognition-by-Element; brain; face detectors; hand detectors; human image understanding; implicit memory; neural system; object recognition impairment; object representation; perceptual constancies; retina; smells; tactilities; tastes; voices; Face detection; Humans; Image coding; Image recognition; Image retrieval; Image sensors; Lighting; Retina; Speech recognition; Tactile sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.939000
  • Filename
    939000