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Low-cost compressive sensing for color video and depth

Publication ,  Conference
Yuan, X; Llull, P; Liao, X; Yang, J; Brady, DJ; Sapiro, G; Carin, L
Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
September 24, 2014

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.

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Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

September 24, 2014

Start / End Page

3318 / 3325
 

Citation

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Yuan, X., Llull, P., Liao, X., Yang, J., Brady, D. J., Sapiro, G., & Carin, L. (2014). Low-cost compressive sensing for color video and depth. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3318–3325). https://doi.org/10.1109/CVPR.2014.424
Yuan, X., P. Llull, X. Liao, J. Yang, D. J. Brady, G. Sapiro, and L. Carin. “Low-cost compressive sensing for color video and depth.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3318–25, 2014. https://doi.org/10.1109/CVPR.2014.424.
Yuan X, Llull P, Liao X, Yang J, Brady DJ, Sapiro G, et al. Low-cost compressive sensing for color video and depth. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2014. p. 3318–25.
Yuan, X., et al. “Low-cost compressive sensing for color video and depth.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3318–25. Scopus, doi:10.1109/CVPR.2014.424.
Yuan X, Llull P, Liao X, Yang J, Brady DJ, Sapiro G, Carin L. Low-cost compressive sensing for color video and depth. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2014. p. 3318–3325.

Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

September 24, 2014

Start / End Page

3318 / 3325