• DocumentCode
    3672378
  • Title

    Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction

  • Author

    Filippo Bergamasco;Andrea Albarelli;Luca Cosmo;Andrea Torsello;Emanuele Rodolà;Daniel Cremers

  • Author_Institution
    Dipartimento di Scienze Ambientali, Informatica e Statistica, Università
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    3003
  • Lastpage
    3012
  • Abstract
    Given the raising interest in light-field technology and the increasing availability of professional devices, a feasible and accurate calibration method is paramount to unleash practical applications. In this paper we propose to embrace a fully non-parametric model for the imaging and we show that it can be properly calibrated with little effort using a dense active target. This process produces a dense set of independent rays that cannot be directly used to produce a conventional image. However, they are an ideal tool for 3D reconstruction tasks, since they are highly redundant, very accurate and they cover a wide range of different baselines. The feasibility and convenience of the process and the accuracy of the obtained calibration are comprehensively evaluated through several experiments.
  • Keywords
    "Cameras","Calibration","Lenses","Microoptics","Encoding","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2015.7298919
  • Filename
    7298919