• DocumentCode
    2863216
  • Title

    Geometric-imprints: a significant points extraction method for the Scan&Track virtual environment

  • Author

    Semwal, Sudhanshu K. ; Ohya, Jun

  • Author_Institution
    ATR Media Integration & Commun. Res. Labs., Kyoto, Japan
  • fYear
    1998
  • fDate
    14-16 Apr 1998
  • Firstpage
    480
  • Lastpage
    485
  • Abstract
    We have implemented a new algorithm, called the geometric imprints method for extracting key features of a given contour. A series of points on the curve are used to find a geometric imprint set of the contour. The algorithm is based upon the assumption that an articulated human and other figures have mostly cylindrical body parts. The algorithm recursively partitions the contour based upon the cylindrical nature of human silhouettes, and a starting point. Similar topological contours are expected to produce similar geometric imprints. Thus the correspondence problem is somewhat simplified. Results of our implementation are presented
  • Keywords
    computational geometry; feature extraction; user interfaces; virtual reality; Scan&Track; articulated human; contours; correspondence problem; curves; cylindrical body parts; feature extraction; geometric imprints; human silhouettes; recursive partitioning; significant point extraction method; virtual environment; Data mining; Humans; Image analysis; Image motion analysis; Information analysis; Magnetic analysis; Magnetic sensors; Motion analysis; Springs; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
  • Conference_Location
    Nara
  • Print_ISBN
    0-8186-8344-9
  • Type

    conf

  • DOI
    10.1109/AFGR.1998.670994
  • Filename
    670994