• DocumentCode
    2603209
  • Title

    A low-power structured light sensor for outdoor scene reconstruction and dominant material identification

  • Author

    Mertz, Christoph ; Koppal, Sanjeev J. ; Sia, Solomon ; Narasimhan, Srinivasa

  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    15
  • Lastpage
    22
  • Abstract
    We introduce a compact structured light device that utilizes a commercially available MEMS mirror-enabled hand-held laser projector. Without complex re-engineering, we show how to exploit the projector´s high-speed MEMS mirror motion and laser light-sources to suppress ambient illumination, enabling low-cost and low-power reconstruction of outdoor scenes in sunlight. We discuss how the line-striping acts as a kind of “light-probe”, creating distinctive patterns of light scattered by different types of materials. We investigate visual features that can be computed from these patterns and can reliably identify the dominant material characteristic of a scene, i.e. where most of the objects consist of either diffuse (wood), translucent (wax), reflective (metal) or transparent (glass) materials.
  • Keywords
    image reconstruction; laser mirrors; light scattering; light sources; lighting; micromechanical devices; optical projectors; sensors; sunlight; MEMS mirror motion; MEMS mirror-enabled hand-held laser projector; ambient illumination suppression; compact structured light device; diffuse material; dominant material identification; laser light-sources; light scatter distinctive pattern; light-probe; line-striping; low-power structured light sensor; outdoor scene reconstruction; reflective material; sunlight; translucent material; transparent material; visual features; Glass; Image reconstruction; Lighting; Mirrors; Robot sensing systems; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4673-1611-8
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2012.6239194
  • Filename
    6239194