• DocumentCode
    1726793
  • Title

    3D cuboid scene understanding by a mixed cognitive graph and log-complex mapping paradigm

  • Author

    Hilsenrath, Oliver A. ; Zeevi, Yehoshua Y.

  • Author_Institution
    Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
  • fYear
    1988
  • Firstpage
    696
  • Abstract
    A methodology is presented for analysis of wire patterns reduced from scenes containing cuboid objects. The 2D wire-pattern graph is partitioned into subgraphs representing individual cuboids. These are in turn mapped onto the log-complex plane to determine by a simple procedure the 3D orientation of each object. The transform from the polar to the log-complex plane is based on a model of the retinotopic mapping which takes place at the level of the visual cortex, which achieves size-and-rotation invariance
  • Keywords
    graph theory; pattern recognition; physiological models; picture processing; 2D wire-pattern graph; 3D cuboid scene understanding; cognitive graph mapping; log-complex mapping; mixed mapping paradigm; partitioning; pattern recognition; picture processing; retinotopic mapping; segmentation; size-and-rotation invariance; subgraphs; visual cortex; wire pattern analysis; Brain modeling; Computer vision; Image resolution; Layout; Machine vision; Pattern analysis; Retina; Routing; Testing; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28331
  • Filename
    28331