• DocumentCode
    254293
  • Title

    Low-Cost Compressive Sensing for Color Video and Depth

  • Author

    Xin Yuan ; Llull, Patrick ; Xuejun Liao ; Jianbo Yang ; Brady, David J. ; Sapiro, Guillermo ; Carin, Lawrence

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    3318
  • Lastpage
    3325
  • Abstract
    A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover multiple color frames for each of the original measured frames, and each of the recovered frames can be focused at a different depth. The recovery of multiple frames for each measured frame is made possible via high-speed coding, manifested via translation of a single coded aperture, the inexpensive translation is constituted by mounting the binary code on a piezoelectric device. To simultaneously recover depth information, a liquid lens is modulated at high speed, via a variable voltage. Consequently, during the aforementioned coding process, the liquid lens allows the camera to sweep the focus through multiple depths. In addition to designing and implementing the camera, fast recovery is achieved by an anytime algorithm exploiting the group-sparsity of wavelet/DCT coefficients.
  • Keywords
    compressed sensing; discrete cosine transforms; image colour analysis; piezoelectric devices; video coding; wavelet transforms; color video camera; group-sparsity; high-speed coding; low-cost compressive sensing; multiple color frames; piezoelectric device; wavelet/DCT coefficients; Cameras; Discrete cosine transforms; Encoding; Image color analysis; Image reconstruction; Lenses; Liquids; Anytime; Compressive Sensing; Depth; Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPR.2014.424
  • Filename
    6909820