Paper
16 October 2013 3D computational ghost imaging
Matthew P. Edgar, Baoqing Sun, Richard Bowman, Stephen S. Welsh, Miles J. Padgett
Author Affiliations +
Abstract
Computational ghost imaging is a technique that enables lensless single-pixel detectors to produce images. By illuminating a scene with a series of patterns from a digital light projector (DLP) and measuring the reflected or transmitted intensity, it is possible to retrieve a two-dimensional (2D) image when using a suitable computer algorithm. An important feature of this approach is that although the light travels from the DLP and is measured by the detector, the images produced reveal that the detector behaves like a source of light and the DLP behaves like a camera. By placing multiple single-pixel detectors in different locations it is possible to obtain multiple ghost images with different shading profiles, which together can be used to accurately calculate the three-dimensional (3D) surface geometry through a photometric stereo techniques. In this work we show that using four photodiodes and a 850nm source of illumination, high quality 3D images of a large toy soldier can be retrieved. The use of simplified lensless detectors in 3D imaging allows different detector materials and architectures to be used whose sensitivity may extend beyond the visible spectrum, at wavelengths where existing camera based technology can become expensive or unsuitable.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew P. Edgar, Baoqing Sun, Richard Bowman, Stephen S. Welsh, and Miles J. Padgett "3D computational ghost imaging", Proc. SPIE 8899, Emerging Technologies in Security and Defence; and Quantum Security II; and Unmanned Sensor Systems X, 889902 (16 October 2013); https://doi.org/10.1117/12.2032739
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

3D image processing

Cameras

Light

Digital Light Processing

Photodetectors

Image sensors

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