• DocumentCode
    3205653
  • Title

    Multi-primitive hierarchical (MPH) stereo system

  • Author

    Marapane, Suresh B. ; Trivedi, Mohan M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    499
  • Lastpage
    505
  • Abstract
    A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, typically edge-element-based, primitive for stereo analysis and to their use of a single-level control strategy. The multi-primitive hierarchical (MPH) framework for stereo analysis presented is directed toward overcoming these deficiencies. In the MPH model, stereo analysis is performed in multiple stages, incorporating multiple primitives and utilizing a hierarchical control strategy. The higher levels of the hierarchical system are based on primitives containing more semantic information, and the results of stereo analysis at higher levels are used for guidance at the lower levels. It is shown that such a stereo system is superior to a single-level, single-primitive system
  • Keywords
    stereo image processing; computational framework; computational models; multiprimitive hierarchical stereo system; semantic information; stereo analysis; Algorithm design and analysis; Computational modeling; Computer vision; Contracts; Laboratories; Layout; Performance analysis; Robot vision systems; Robustness; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223144
  • Filename
    223144