• DocumentCode
    2085844
  • Title

    Real-time Hand Pose Recognition Using Low-Resolution Depth Images

  • Author

    Mo, Zhenyao ; Neumann, Ulrich

  • Author_Institution
    University of Southern California
  • Volume
    2
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    1499
  • Lastpage
    1505
  • Abstract
    Gesture recognition methods based on intensity or color images often suffer from low efficiency and lack of robustness. In this paper, we employ a new laser-based camera that produces reliable low-resolution depth images at video rates. By decomposing and recognizing hand poses as finger states (finger poses and finger inter-relations), we achieve robust hand pose recognition in real-time (30 frames/second).
  • Keywords
    Cameras; Color; Computer graphics; Computer vision; Feature extraction; Fingers; Image recognition; Keyboards; Robustness; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2597-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2006.237
  • Filename
    1640934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2085844