• DocumentCode
    1486795
  • Title

    Detecting 3-D motion field from range image sequences

  • Author

    Chaudhury, Krishnendu ; Mehrotra, Rajiv ; Srinivasan, Cid

  • Author_Institution
    Dept. of Adv. Dev., Adobe Syst. Inc., San Jose, CA, USA
  • Volume
    29
  • Issue
    2
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    308
  • Lastpage
    314
  • Abstract
    An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3×3 “feature matrix” related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local shape of the surface. Based on the feature´s conservation along the trajectory of every moving point, a 3-D Flow Constraint Equation is formulated and solved for the velocity field. The robustness of the feature in presence of noise and discontinuity is analyzed
  • Keywords
    image sequences; motion estimation; 3-D motion field; 3-D rigid motion invariant feature; Flow Constraint Equation; motion parameters; range image sequences; robustness; Computer vision; Equations; Image motion analysis; Image sequences; Motion analysis; Motion detection; Optical imaging; Optical noise; Shape measurement; Tensile stress;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.752806
  • Filename
    752806