• DocumentCode
    2595940
  • Title

    Pose clustering on constraints for object recognition

  • Author

    Chakravarthy, Chennubhotla S. ; Kasturi, Rangachar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    The authors investigate a way of improving Hough transform performance using the spatial relations that exist between model features. Clusters of scene features possibly belonging to a model are grouped by a series of one-dimensional Hough transforms. The results presented illustrate the effectiveness of the methods
  • Keywords
    computer vision; computerised pattern recognition; transforms; object recognition; one-dimensional Hough transforms; pose clustering; scene features; spatial relations; Application software; Computer vision; Data engineering; Filtering; Layout; Libraries; Noise shaping; Object recognition; Shape; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139654
  • Filename
    139654
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2595940