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
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;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPR.2014.424