• DocumentCode
    3003452
  • Title

    A projector-camera setup for geometry-invariant frequency demultiplexing

  • Author

    Vaquero, Daniel A ; Raskary, Ramesh ; Feris, Rogerio Schmidt ; Turk, M.

  • Author_Institution
    UC, Santa Barbara, CA, USA
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    2082
  • Lastpage
    2089
  • Abstract
    Consider a projector-camera setup where a sinusoidal pattern is projected onto the scene, and an image of the objects imprinted with the pattern is captured by the camera. In this configuration, the local frequency of the sinusoidal pattern as seen by the camera is a function of both the frequency of the projected sinusoid and the local geometry of objects in the scene. We observe that, by strategically placing the projector and the camera in canonical configuration and projecting sinusoidal patterns aligned with the epipolar lines, the frequency of the sinusoids seen in the image becomes invariant to the local object geometry. This property allows us to design systems composed of a camera and multiple projectors, which can be used to capture a single image of a scene illuminated by all projectors at the same time, and then demultiplex the frequencies generated by each individual projector separately. We show how imaging systems like those can be used to segment, from a single image, the shadows cast by each individual projector - an application that we call coded shadow photography. The method is useful to extend the applicability of techniques that rely on the analysis of shadows cast by multiple light sources placed at different positions, as the individual shadows captured at distinct instants of time now can be obtained from a single shot, enabling the processing of dynamic scenes.
  • Keywords
    computer vision; image segmentation; photography; coded shadow photography; geometry-invariant frequency demultiplexing; projector-camera setup; sinusoidal pattern; Cameras; Computer vision; Demultiplexing; Frequency; Geometry; Image segmentation; Layout; Light sources; Lighting; Photography;
  • 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.2009.5206614
  • Filename
    5206614