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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Mompeán, J. | - |
dc.contributor.author | Aragón, J.L. | - |
dc.contributor.author | Prieto, P. | - |
dc.contributor.author | Artal, P. | - |
dc.contributor.other | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ingeniería y Tecnología de Computadores | es |
dc.date.accessioned | 2024-01-31T17:01:37Z | - |
dc.date.available | 2024-01-31T17:01:37Z | - |
dc.date.issued | 2019-02 | - |
dc.identifier.citation | Future Generation Computer Systems, vol. 91, pp. 177–190, ISSN: 0167-739X, Febrero 2019 | es |
dc.identifier.issn | 0167-739X | - |
dc.identifier.uri | http://hdl.handle.net/10201/138322 | - |
dc.description | ©2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted version of a Published Work that appeared in final form in Future Generation Computer Systems. To access the final edited and published work see https://doi.org/10.1016/j.future.2018.09.010 | es |
dc.description.abstract | Hartmann–Shack aberrometry is a widely used technique in the field of visual optics but, high-speed and accurate processing of Hartmann–Shack images can be a computationally expensive/resource intensive task. While some advancements have been made in achieving high-performance processing units, they have not been specifically designed for processing Hartmann–Shack images of the human eye with Graphics Processing Units. In this work, we present the first full-Graphics Processing Unit implementation of a Hartmann–Shacksensor algorithm aimed at accurately measuring ocular aberrations at a high speed from high-resolution spot pattern images. The proposed algorithm, called PaPyCS (Parallel Pyramidal Centroid Search), is inherently parallel and performs a very robust centroid search to avoid image noise and other artifacts. This is a field where the use of Graphics Processing Units have not been exploited despite the fact that they can boost Adaptive Optics systems and related closed-loop approaches. Our proposed implementation achieves processing speeds of 380 frames per second for high resolution (1280x1280 pixels) images, in addition to showing a high resilience to system and image artifacts that appear in Hartmann–Shack images from human eyes: more than 98% of the Hartmann–Shack images, with aberrations of up to 4m Root Mean Square for a 5.12mm pupil diameter, were measured with less than 0.05m Root Mean Square Error, which is basically negligible for ocular aberrations. | es |
dc.format | application/pdf | es |
dc.format.extent | 16 | es |
dc.language | eng | es |
dc.publisher | Elsevier | es |
dc.relation | TÍTULO PROYECTO: "Técnicas para la Mejora de las Prestaciones, Fiabilidad y Consumo de Energía de los Servidores. Optimización de Aplicaciones Científicas, Médicas y de Visión Artificial" Código: TIN2015-66972-C5-3-R Organismo financiador: Ministerio de Economía y Competitividad (MINECO) TÍTULO PROYECTO: "Seeing through cataracts with advanced photonics (SEECAT)" Código: ERC-2013-AdG-339228 Organismo financiador: European Union, Program EXCELLENT SCIENCE - European Research Council (ERC) Advanced Grant TÍTULO PROYECTO: "FOTÓNICA PARA LA SALUD VISUAL" Código: FIS2013-41237-R Organismo financiador: Ministerio de Economía y Competitividad (MINECO) | es |
dc.relation.requires | https://doi.org/10.1016/j.future.2018.09.010 | es |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | GPGPUs | es |
dc.subject | Image processing | es |
dc.subject | Real time | es |
dc.subject | Tracking | es |
dc.subject | Hartmann–Shack Wavefront sensing | es |
dc.title | GPU-based processing of Hartmann-Shack images for accurate and high-speed ocular wavefront sensing | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | https://doi.org/10.1016/j.future.2018.09.010 | - |
Aparece en las colecciones: | Artículos: Ingeniería y Tecnología de Computadores |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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HS-FGCS2019-preprint.pdf | versión preprint | 1,6 MB | Adobe PDF | Visualizar/Abrir |
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