Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Neal Radwell"'
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
Abstract Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting
Externí odkaz:
https://doaj.org/article/b9c7b5e28dff47e0b21493b3f491c3fd
Autor:
Ming-Jie Sun, Matthew P. Edgar, Graham M. Gibson, Baoqing Sun, Neal Radwell, Robert Lamb, Miles J. Padgett
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-6 (2016)
A three-dimensional imaging system which distributes the optical illumination over the full field-of-view is sought after. Here, the authors demonstrate the capability of reconstructing 128 × 128 pixel resolution three-dimensional scenes to an accur
Externí odkaz:
https://doaj.org/article/60e1b0eea6d04057846740991a95516a
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-7 (2019)
Scientific Reports
Scientific Reports
Scanning our surroundings has become one of the key challenges in automation. Effective and efficient position, distance and velocity sensing is key to accurate decision making in automated applications from robotics to driverless cars. Light detecti
Publikováno v:
Quantum Photonics: Enabling Technologies.
When focusing a light beam at high numerical aperture, the resulting electric field profile in the focal plane depends on the transverse polarisation profile, as interference between different parts of the beam needs to be taken into account. It is w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff17a0cb5d4bf158fa49f8eda401559
http://arxiv.org/abs/2005.06367
http://arxiv.org/abs/2005.06367
Autor:
Miles J. Padgett, Neal Radwell, Matthew P. Edgar, Steven D. Johnson, Catherine F. Higham, Roderick Murray-Smith
Publikováno v:
Conference on Lasers and Electro-Optics.
We present a LIDAR system that compressively samples a scene using a deeplearning optimised sampling basis and reconstruction algorithm. This approach improves scene reconstruction quality compared to an orthogonal sampling method.
Autor:
Matthew P. Edgar, Roderick Murray-Smith, Catherine F. Higham, Neal Radwell, Steven D. Johnson, Miles J. Padgett
Interest in autonomous transport has led to a demand for 3D imaging technologies capable of resolving fine details at long range. Light detection and ranging (LiDAR) systems have become a key technology in this area, with depth information typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4757ce3cd0c22a325ada443ec729aedd
https://eprints.gla.ac.uk/203434/7/203434.pdf
https://eprints.gla.ac.uk/203434/7/203434.pdf
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019)
Scientific Reports
Scientific Reports
Light's polarisation contains information about its source and interactions, from distant stars to biological samples. Polarimeters can recover this information, but reliance on birefringent or rotating optical elements limits their wavelength range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd6ced51d08a00747a01c6862c398fc
http://arxiv.org/abs/1808.06484
http://arxiv.org/abs/1808.06484
Publikováno v:
Latin America Optics and Photonics Conference.
At Glasgow we routinely use a variety of techniques to imprint structure in the spatial amplitude, phase and polarization of a light beam. This allows us to generate vector vortex beams at high fidelity, with applications in polarimetry and strong fo
Autor:
Neal Radwell, Adam Selyem, Sonja Franke-Arnold, Sylvain Fayard, Aidan S. Arnold, Thomas W. Clark
Publikováno v:
arXiv.org e-Print Archive
The interaction of spatially structured light fields with atomic media can generate spatial structures inscribed in the atomic populations and coherences, allowing for example the storage of optical images in atomic vapours. Typically, this involves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9adca170d4634bf2bda5ccacd185233d