• DocumentCode
    2992731
  • Title

    Motion-vision architectures

  • Author

    Narathong, Chiewcharn ; Inigo, R.M. ; McVey, Eugene

  • Author_Institution
    Dept. of Electr. Eng., Wisconsin Univ., Platteville, WI
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    A fast tracking algorithm is used to determine displacements of points (pixels) on object surfaces between frames, a sequence of image frames representing a time-varying scene. The displacement is represented by a four-dimension vector whose elements are two-dimensional translation, rotation, rotational angle on the x-y plane, and scaling factor (zoom parameter). The algorithm was developed in conjunction with research on sensors for machine vision with biological vision features. The proposed sensor has two configurations: a uniform rectangular grid and a nonuniform logarithmic spiral grid. The rectangular grid is very well suited to translational motion in 2-D, whereas the logarithmic spiral grid has been proven to be appropriate for rotation and scaling. The algorithm developed utilizes both configurations for estimating 3-D motion
  • Keywords
    computer vision; parallel architectures; biological vision features; computer vision; fast tracking algorithm; machine vision; motion-vision architecture; parallel architectures; rotation; rotational angle; scaling factor; time-varying scene; translation; zoom parameter; Biological system modeling; Biomedical optical imaging; Biosensors; Layout; Motion estimation; Optical computing; Optical distortion; Pixel; Retina; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196268
  • Filename
    196268