Predicting visual acuity from measured ocular aberrations

Rafael M. Navarro; Oscar Nestares; Beatriz Antona; José Hernández

doi:10.1117/12.527533

19 November 2003 Predicting visual acuity from measured ocular aberrations

Rafael M. Navarro, Oscar Nestares, Beatriz Antona, José Hernández

Proceedings Volume 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life; (2003) https://doi.org/10.1117/12.527533
Event: 19th Congress of the International Commission for Optics: Optics for the Quality of Life, 2002, Florence, Italy

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)

Citation Download Citation

Rafael M. Navarro, Oscar Nestares, Beatriz Antona, and José Hernández "Predicting visual acuity from measured ocular aberrations", Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); https://doi.org/10.1117/12.527533

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