• DocumentCode
    1807428
  • Title

    On the accuracy of optical flow computation using global optimization

  • Author

    Niemann, H. ; Arnold, J. ; Sagerer, G.

  • Author_Institution
    Lehrstuhl fuer Inf., Univ. Erlangen-Nurnberg, West Germany
  • fYear
    1988
  • fDate
    14-17 Nov 1988
  • Firstpage
    1094
  • Abstract
    The accuracy of optical flow computation is investigated using gradient methods and global optimization. It considered the influence of systematic and statistical errors on the constraint equation, and of systematic and statistical errors on the iterative solution of the optimization of the continuity constraint. Approaches to error reduction are suggested. Experimental results are given using synthetic images with exactly known properties demonstrating the efficiency of error reduction techniques
  • Keywords
    optimisation; pattern recognition; picture processing; accuracy; constraint equation; continuity constraint; error reduction; global optimization; gradient methods; iterative solution; optical flow computation; pattern recognition; picture processing; statistical errors; systematic errors; Constraint optimization; Differential equations; Fluid flow measurement; Gradient methods; Image motion analysis; Layout; Optical computing; Optimization methods; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28450
  • Filename
    28450