• DocumentCode
    3003387
  • Title

    Depth from sliding projections

  • Author

    Hermans, Chris ; Francken, Yannick ; Cuypers, Tom ; Bekaert, Philippe

  • Author_Institution
    Expertise Centre for Digital Media, Hasselt Univ., Hasselt, Belgium
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    1865
  • Lastpage
    1872
  • Abstract
    In this paper we present a novel method for 3D structure acquisition, based on structured light. Unlike classical structured light methods, in which a static projector illuminates a scene with time-varying illumination patterns, our technique makes use of a moving projector emitting a static striped illumination pattern. This projector is translated at a constant velocity, in the direction of the projector´s horizontal axis. Illuminating the object in this manner allows us to perform a per pixel analysis, in which we decompose the recorded illumination sequence into a corresponding set of frequency components. The dominant frequency in this set can be directly converted into a corresponding depth value. This per pixel analysis allows us to preserve sharp edges in the depth image. Unlike classical structured light methods, the quality of our results is not limited by projector or camera resolution, but is solely dependent on the temporal sampling density of the captured image sequence. Additional benefits include a significant robustness against common problems encountered with structured light methods, such as occlusions, specular reflections, subsurface scattering, interreflections, and to a certain extent projector defocus.
  • Keywords
    cameras; image sequences; 3D structure acquisition; camera resolution; captured image sequence; classical structured light method; constant velocity; dominant frequency; extent projector defocus; pixel analysis; recorded illumination sequence; sliding projection; specular reflection; static projector illumination; static striped illumination pattern; subsurface scattering; temporal sampling density; time-varying illumination pattern; Cameras; Frequency conversion; Image analysis; Image converters; Image resolution; Image sequence analysis; Layout; Lighting; Performance analysis; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-3992-8
  • Type

    conf

  • DOI
    10.1109/CVPR.2009.5206610
  • Filename
    5206610