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dc.contributor.authorDalimier, E.
dc.contributor.authorPailos, E.
dc.contributor.authorRivera, R.
dc.contributor.authorNavarro, R.
dc.identifier.citationDalimier, E. Pailos, E.; Rivera, R.; Navarro, R. (2009). Experimental validation of a bayesian model of visual acuity. Journal of Vision 9 (7),
dc.description.abstractBased 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.
dc.publisherAssociation for Research in Vision and Ophthalmology (ARVO)
dc.relation.ispartofJournal of Vision
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.subjectvision modeling
dc.subjectpattern recognition
dc.subjectocular aberrations
dc.subjectbest refraction
dc.subjectvisual acuity
dc.subjectretinal image quality
dc.subjectliving human eye
dc.subjectmonochromatic aberrations
dc.subjectchromatic aberrations
dc.subjectcontrast sensitivity
dc.subjectoptical aberrations
dc.subjectpupil centration
dc.subjectwave aberrations
dc.subjectadaptive optics
dc.titleExperimental validation of a bayesian model of visual acuity

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland