• DocumentCode
    3748826
  • Title

    Depth Recovery from Light Field Using Focal Stack Symmetry

  • Author

    Haiting Lin;Can Chen;Sing Bing Kang;Jingyi Yu

  • Author_Institution
    Univ. of Delaware, Newark, DE, USA
  • fYear
    2015
  • Firstpage
    3451
  • Lastpage
    3459
  • Abstract
    We describe a technique to recover depth from a light field (LF) using two proposed features of the LF focal stack. One feature is the property that non-occluding pixels exhibit symmetry along the focal depth dimension centered at the in-focus slice. The other is a data consistency measure based on analysis-by-synthesis, i.e., the difference between the synthesized focal stack given the hypothesized depth map and that from the LF. These terms are used in an iterative optimization framework to extract scene depth. Experimental results on real Lytro and Raytrix data demonstrate that our technique outperforms state-of-the-art solutions and is significantly more robust to noise and under-sampling.
  • Keywords
    "Color","Robustness","Cameras","Image color analysis","Noise measurement","Pipelines","Minimization"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2015 IEEE International Conference on
  • Electronic_ISBN
    2380-7504
  • Type

    conf

  • DOI
    10.1109/ICCV.2015.394
  • Filename
    7410751