• DocumentCode
    3170385
  • Title

    A multiresolution approach to integrated optical flow computation

  • Author

    Kumar, K. Sunil ; Desai, U.B.

  • Author_Institution
    Indian Inst. of Technol., Bombay, India
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    852
  • Lastpage
    857
  • Abstract
    Uses simulated annealing to minimize energy functions at all resolutions. One can enhance the speed of computation by using simulated annealing at the coarsest resolution and then using the less computationally complex deterministic algorithms like graduated non-convexity, iterative conditional modes at finer resolutions, the idea being that the simulated annealing algorithm would have given a good estimate for the deterministic algorithms to perform better at finer resolution
  • Keywords
    computational complexity; feature extraction; image matching; image resolution; image sequences; interpolation; coarse resolution; computation time; computational complexity; deterministic algorithms; energy functions minimization; fine resolutions; graduated non-convexity; graduated nonconvexity; integrated optical flow computation; iterative conditional mode; iterative conditional modes; multiresolution approach; simulated annealing;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950781
  • Filename
    465648