• DocumentCode
    254717
  • Title

    The Sightfield: Visualizing Computer Vision, and Seeing Its Capacity to "See"

  • Author

    Mann, Sebastian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    618
  • Lastpage
    623
  • Abstract
    Computer vision is embedded in toilets, urinals, handwash faucets (e.g. Delta Faucet\´s 128 or 1024 pixel linear arrays), doors, lightswitches, thermostats, and many other objects that "watch" us. Camera-based motion sensing streetlights are installed throughout entire cities, making embedded vision ubiquitous. Technological advancement is leading to increased sensory and computational performance combined with miniaturization that is making vision sensors less visible. In that sense, computer vision is "seeing" better while it is becoming harder for us to see it. I will introduce and describe the concept of a "sightfield", a time-reversed lightfield that can be visualized with time-exposure photography, to make vision (i.e. the capacity to see) visible. In particular, I will describe a special wand that changes color when it is being observed. The wand has an array of light sources that each change color when being watched. The intensity of each light source increases in proportion to the degree to which it is observed. The wand is a surveillometer/sousveillometer array sensing, measuring, and making visible sur/sousveillance. Moving the wand through space, while tracking its exact 3D position in space, makes visible the otherwise invisible "rays of sight" that emenate from cameras. This capacity to sense, measure, and visualize vision, is useful in liability, insurance, safety, and risk assessment, as well as privacy/priveillance assessment, criminology, urban planning, design, and (sur/sous)veillance studies.
  • Keywords
    cameras; computer vision; data visualisation; image colour analysis; image motion analysis; photography; camera-based motion sensing streetlights; change color; computer vision visualization; criminology; exact 3D position; insurance; invisible rays of sight; liability; light source array; privacy-priveillance assessment; risk assessment; safety; sightfield; surveillometer-sousveillometer array sensing; technological advancement; time-exposure photography; time-reversed lightfield; ubiquitous embedded vision; urban planning; visible sur-sousveillance; vision sensors; wand; Cameras; Computer vision; Data visualization; Sensors; Surveillance; Three-dimensional displays; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPRW.2014.127
  • Filename
    6910044