Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/80889
Título: | Opto-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-chave: | Optomechanical artificial eye model In vitro eye measurements Imaging Image quality Human eye |
Data: | 10-Out-2022 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Sensors |
Citação: | Amorim, 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/80889 |
DOI: | 10.3390/s22197686 |
ISSN: | 1424-8220 |
e-ISSN: | 1424-8220 |
Versão da editora: | https://www.mdpi.com/1424-8220/22/19/7686 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | ASSESSMENT AND ENHANCING VISUAL PERFORMANCE (2018 - ...) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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sensors-22-07686-v2.pdf | 7,49 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons