• DocumentCode
    2359504
  • Title

    Seeing physics, or: physics is for prediction [computer vision]

  • Author

    Brand, Matthew ; Cooper, Paul ; Birnbaum, Lawrence

  • fYear
    1995
  • fDate
    18-19 June 1995
  • Firstpage
    144
  • Abstract
    We describe how knowledge of the physics of the scene itself is important to computer vision. High-level knowledge of scene physics can help programs see the world, and programs that see and understand this way are useful for planning plan scene interactions. We illustrate these points with two of our most recent knowledge-intensive vision systems. One uses knowledge of physics and function to understand noisy and ambiguous images of gear-train machines; i.e. to report what the machine does. The other uses physical knowledge to guide a robotic eye-hand system to pick up a mug of coffee by its handle
  • Keywords
    Bridges; Computer vision; Focusing; Layout; Machine vision; Physics; Robot sensing systems; Robot vision systems; Shape; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Physics-Based Modeling in Computer Vision, 1995., Proceedings of the Workshop on
  • Conference_Location
    Cambridge, MA, USA
  • Print_ISBN
    0-8186-7021-5
  • Type

    conf

  • DOI
    10.1109/PBMCV.1995.514679
  • Filename
    514679