• DocumentCode
    2861196
  • Title

    Synthetic Aperture Focusing using a Shear-Warp Factorization of the Viewing Transform

  • Author

    Vaish, Vaibhav ; Garg, Gaurav ; Talvala, Eino-Ville ; Antunez, Emilio ; Wilburn, Bennett ; Horowitz, Mark ; Levoy, Marc

  • Author_Institution
    Dept of Computer Science, Stanford University
  • fYear
    2005
  • fDate
    25-25 June 2005
  • Firstpage
    129
  • Lastpage
    129
  • Abstract
    Synthetic aperture focusing consists of warping and adding together the images in a 4D light field so that objects lying on a specified surface are aligned and thus in focus, while objects lying of this surface are misaligned and hence blurred. This provides the ability to see through partial occluders such as foliage and crowds, making it a potentially powerful tool for surveillance. If the cameras lie on a plane, it has been previously shown that after an initial homography, one can move the focus through a family of planes that are parallel to the camera plane by merely shifting and adding the images. In this paper, we analyze the warps required for tilted focal planes and arbitrary camera configurations. We characterize the warps using a new rank- 1 constraint that lets us focus on any plane, without having to perform a metric calibration of the cameras. We also show that there are camera configurations and families of tilted focal planes for which the warps can be factorized into an initial homography followed by shifts. This shear-warp factorization permits these tilted focal planes to be synthesized as efficiently as frontoparallel planes. Being able to vary the focus by simply shifting and adding images is relatively simple to implement in hardware and facilitates a real-time implementation. We demonstrate this using an array of 30 videoresolution cameras; initial homographies and shifts are performed on per-camera FPGAs, and additions and a final warp are performed on 3 PCs.
  • Keywords
    Calibration; Cameras; Computer science; Computer vision; Field programmable gate arrays; Focusing; Hardware; Layout; Personal communication networks; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA, USA
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.537
  • Filename
    1565441