Low-Cost Compressive Sensing for Color Video and Depth

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...

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Bibliographic Details
Published in2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 3318 - 3325
Main Authors Xin Yuan, Llull, Patrick, Xuejun Liao, Jianbo Yang, Brady, David J., Sapiro, Guillermo, Carin, Lawrence
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Anytime
Cameras
Compressive Sensing
Depth
Discrete cosine transforms
Encoding
Image color analysis
Image reconstruction
Lenses
Liquids
Video
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Summary: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.
ISSN:1063-6919
DOI:10.1109/CVPR.2014.424