Experimental validation of a bayesian model of visual acuity
MetadataShow full item record
This item's downloads: 0 (view details)
Dalimier, E. Pailos, E.; Rivera, R.; Navarro, R. (2009). Experimental validation of a bayesian model of visual acuity. Journal of Vision 9 (7),
Based on standard procedures used in optometry clinics, we compare measurements of visual acuity for 10 subjects (11 eyes tested) in the presence of natural ocular aberrations and different degrees of induced defocus, with the predictions given by a Bayesian model customized with aberrometric data of the eye. The absolute predictions of the model, without any adjustment, show good agreement with the experimental data, in terms of correlation and absolute error. The efficiency of the model is discussed in comparison with image quality metrics and other customized visual process models. An analysis of the importance and customization of each stage of the model is also given; it stresses the potential high predictive power from precise modeling of ocular and neural transfer functions.
Showing items related by title, author, creator and subject.
An analytical method for predicting the geometrical and optical properties of the human lens under accommodation Sheil, Conor J.; Bahrami, Mehdi; Goncharov, Alexander V. (The Optical Society, 2014-04-28)
Bahrami, Mehdi (2012-12-19)The variation of refractive index with wavelength, known as dispersion, was what redirected Isaac Newton from refractive telescope designs toward a reflective one, since he found the chromatic effect incurable. Later it ...
Sheil, Conor J. (2016-06-03)This thesis is a study on the optical properties of the human eye; specifically, optical modelling of the human lens with accommodation and ageing. The idiosyncratic nature of the human eye provides a hindrance to modelling ...