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Proceedings Paper

Predicting visual acuity from measured ocular aberrations
Author(s): Rafael M. Navarro; Oscar Nestares; Beatriz Antona; José Hernández
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Paper Abstract

A method to predict visual acuity in individual eyes has been developed, which combines realistic optical and neural models of early visual processing. Visual acuity is usually obtained as the outcome of a pattern recognition task. However, since the human eye is highly aberrated, standard pattern recognition methods can not be used here, because they fail severely in the presence of optical aberrations, contrarily to what we observe in the human visual system. Here, we have applied a pattern recognition method invariant against optical aberrations, based on early visual models. The results obtained in several real cases provided accurate and realistic predictions of visual acuity. (Summary only available)

Paper Details

Date Published: 19 November 2003
PDF: 2 pages
Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); doi: 10.1117/12.527533
Show Author Affiliations
Rafael M. Navarro, Consejo Superior de Investigaciones Cientificas (Spain)
Oscar Nestares, Consejo Superior de Investigaciones Cientificas (Spain)
Beatriz Antona, Univ. Complutense de Madrid (Spain)
José Hernández, Ctr. del Láser Refractivo de Madrid (United States)


Published in SPIE Proceedings Vol. 4829:
19th Congress of the International Commission for Optics: Optics for the Quality of Life
Giancarlo C. Righini; Anna Consortini, Editor(s)

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