• DocumentCode
    2522449
  • Title

    Heuristic relaxation approaches for 3-D object recognition

  • Author

    Zhou, X.Y. ; Davis, W.A.

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    1990
  • fDate
    13-18 May 1990
  • Firstpage
    1852
  • Abstract
    An approach which aims at increasing the efficiency of tree search using heuristic and relaxation techniques is presented. To increase the efficiency, a structural description for 3D object representation is proposed. Algorithms based on the proposed model for object recognition are developed, and the performance of the algorithms is compared with that of previous algorithms
  • Keywords
    computer vision; relaxation theory; search problems; trees (mathematics); 3-D object recognition; computer vision; heuristic relaxation; tree search; Computer vision; Data structures; Databases; Labeling; Libraries; NP-complete problem; Object recognition; Robot vision systems; Tree graphs; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    0-8186-9061-5
  • Type

    conf

  • DOI
    10.1109/ROBOT.1990.126278
  • Filename
    126278
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2522449