CVFeb 27, 2014

Low-Cost Compressive Sensing for Color Video and Depth

arXiv:1402.6932v1108 citations
Originality Incremental advance
AI Analysis

This enables low-cost, low-power compressive sensing for color video and depth, potentially benefiting applications like robotics or surveillance, though it appears incremental as it builds on existing compressive sensing and coding techniques.

The authors tackled the problem of capturing multiple color frames and depth information with a low-cost camera by modifying an off-the-shelf device with a coded aperture and liquid lens, achieving recovery of multiple frames per measured frame and depth focusing through high-speed modulation.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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