• DocumentCode
    3330028
  • Title

    Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras

  • Author

    Dansereau, D.G. ; Pizarro, Oscar ; Williams, Stefan B.

  • Author_Institution
    Australian Centre for Field Robot., Mech. & Mechatron. Eng. Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1027
  • Lastpage
    1034
  • Abstract
    Plenoptic cameras are gaining attention for their unique light gathering and post-capture processing capabilities. We describe a decoding, calibration and rectification procedure for lenselet-based plenoptic cameras appropriate for a range of computer vision applications. We derive a novel physically based 4D intrinsic matrix relating each recorded pixel to its corresponding ray in 3D space. We further propose a radial distortion model and a practical objective function based on ray reprojection. Our 15-parameter camera model is of much lower dimensionality than camera array models, and more closely represents the physics of lenselet-based cameras. Results include calibration of a commercially available camera using three calibration grid sizes over five datasets. Typical RMS ray reprojection errors are 0.0628, 0.105 and 0.363 mm for 3.61, 7.22 and 35.1 mm calibration grids, respectively. Rectification examples include calibration targets and real-world imagery.
  • Keywords
    computer vision; image sensors; matrix algebra; 4D intrinsic matrix; calibration procedure; computer vision applications; decoding procedure; lenselet based plenoptic cameras; light gathering; parameter camera model; radial distortion model; recorded pixel; rectification procedure; Arrays; Calibration; Cameras; Decoding; Lenses; Optical distortion; Three-dimensional displays; camera calibration; image rectification; light field; plenoptic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.137
  • Filename
    6618981