• DocumentCode
    2180247
  • Title

    Semi-automatic geometric model construction for 3D traffic vision

  • Author

    Baker, K.D. ; Tan, T.N. ; Attwood, C.I. ; Sullivan, G.D.

  • Author_Institution
    Dept. of Comput. Sci., Reading Univ., UK
  • fYear
    1994
  • fDate
    25-27 May 1994
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    This paper concerns the construction of 3D geometric object models from monocular intensity images. Two semi-automatic techniques are described. One is based on structure from motion, and the other on structure from symmetry. Both techniques fully exploit a priori knowledge such as the ground-plane constraint and the known topology of the object to be modelled. The techniques require human intervention in solving problems (such as feature detection and matching) which cannot be processed reliably and accurately by the computer. Both techniques have been implemented as interactive user application support tools. The tools have been used to generate tens of object models which are now routinely used in a 3D model-based traffic vision system
  • Keywords
    computer vision; traffic control; traffic recording; 3D traffic vision; a priori knowledge; geometric model construction; geometric object models; monocular intensity images; traffic monitoring; traffic vision system; Cameras; Computer science; Computer vision; Humans; Layout; Machine vision; Roads; Solid modeling; Topology; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 1994. Symposium Proceedings, ISIE '94., 1994 IEEE International Symposium on
  • Conference_Location
    Santiago
  • Print_ISBN
    0-7803-1961-3
  • Type

    conf

  • DOI
    10.1109/ISIE.1994.333124
  • Filename
    333124