Literature DB >> 31027042

Snapshot Compressive ToF+Spectral Imaging via Optimized Color-Coded Apertures.

Hoover Rueda-Chacon, Juan F Florez, Daniel Leo Lau, Gonzalo R Arce.   

Abstract

Compressive-multispectral-imaging systems comprise a new generation of spectral imagers that capture coded projections of a scene where spectral data-cubes are reconstructed computationally. Separately, time-of-flight (ToF) cameras obtain 2D range images where each pixel records the distance from the camera-sensor to the target-surface. The demand for these imaging modalities is rapidly increasing, and thus, there is strong interest in developing new image-sensors that can simultaneously acquire multispectral-color-and-depth imagery (MS+D) using a single-aperture. Work in this path has been mainly developed via RGB+D imaging. However, in RGB+D, the multispectral image is limited to three spectral channels, and the imaging system often relies on two image-sensors. We recently proposed a compressive MS+D imaging device that used a digital-micromirror-device, requiring a bulky double imaging-and-relay path. To overcome the bulkiness and other difficulties of our previous imaging system, this work presents a more-compact MS+D imaging device with snapshot capabilities. It provides better spectral sensing, relying on a static color-coded-aperture (CCA) and a ToF sensor. To guarantee good quality in the recovery, we develop an optimization method for CCA based-on blue-noise-multitoning, solved via the direct-binary-search algorithm. A testbed-setup is reported along with simulated-and-real experiments that demonstrate the MS+D capabilities of the proposed system over static-and-dynamic scenes.

Entities:  

Year:  2019        PMID: 31027042     DOI: 10.1109/TPAMI.2019.2912961

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  1 in total

1.  An Improved Calibration Method for Photonic Mixer Device Solid-State Array Lidars Based on Electrical Analog Delay.

Authors:  Xuanquan Wang; Ping Song; Wuyang Zhang
Journal:  Sensors (Basel)       Date:  2020-12-20       Impact factor: 3.576

  1 in total

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