Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/80889

TítuloOpto-mechanical eye models, a review on human vision applications and perspectives for use in industry
Autor(es)Amorim, André Albuquerque Rino Loureiro
Bret, Boris Paul Jean
González-Méijome, José Manuel
Palavras-chaveOptomechanical artificial eye model
In vitro eye measurements
Imaging
Image quality
Human eye
Data10-Out-2022
EditoraMultidisciplinary Digital Publishing Institute (MDPI)
RevistaSensors
CitaçãoAmorim, A.R.; Bret, B.; González-Méijome, J.M. Opto-Mechanical Eye Models, a Review on Human Vision Applications and Perspectives for Use in Industry. Sensors 2022, 22, 7686. https://doi.org/10.3390/s22197686
Resumo(s)The purpose of this review is to aggregate technical information on existent optomechanical eye models (OME) described in the literature, for image quality assessment in different applications. Several physical eye models have been reviewed from peer-reviewed papers and patent applications. A typical eye model includes an artificial cornea, an intraocular lens or other lens to simulate the crystalline lens, an aperture as the pupil, and a posterior retinal surface, which may be connected to a light sensor. The interior of the eye model may be filled with a fluid to better emulate physiological conditions. The main focus of this review is the materials and physical characteristics used and the dimensional aspects of the main components including lenses, apertures, chambers, imaging sensors and filling medium. Various devices are described with their applications and technical details, which are systematically tabulated highlighting their main characteristics and applications. The models presented are detailed and discussed individually, and the features of different models are compared when applicable, highlighting strengths and limitations. In the end there is a brief discussion about the potential use of artificial eye models for industrial applications.
TipoArtigo
URIhttps://hdl.handle.net/1822/80889
DOI10.3390/s22197686
ISSN1424-8220
e-ISSN1424-8220
Versão da editorahttps://www.mdpi.com/1424-8220/22/19/7686
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ASSESSMENT AND ENHANCING VISUAL PERFORMANCE (2018 - ...)

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