• DocumentCode
    1685076
  • Title

    Representation, recognition and reconstruction of objects through a features network

  • Author

    Silva, Tito ; Rosa, Agostinho

  • Author_Institution
    Laseeb-Syst. & Robotics Inst.-IST, Tech. Univ. Lisbon, Portugal
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1602
  • Lastpage
    1607
  • Abstract
    We present a new approach on visual structures recognition. It consists of a representation model which stores the internal relations of visual structures in a location and orientation-invariant way. The system also learns abstract higher-level visual concepts which may be properly recalled. An application example is provided for illustration
  • Keywords
    image recognition; image reconstruction; image representation; learning (artificial intelligence); neural nets; neurophysiology; physiological models; vision; abstract visual concepts; conceptual cortex; image reconstruction; neural network; receptive fields; representation model; visual cortex; visual structures recognition; Brain modeling; Coherence; Computer vision; Image analysis; Image sequences; Neural networks; Neurons; Object detection; Robots; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007757
  • Filename
    1007757