Experimental validation of a Bayesian model of visual acuity.

Hdl Handle:
http://hdl.handle.net/10147/94034
Title:
Experimental validation of a Bayesian model of visual acuity.
Authors:
Dalimier, Eugénie; Pailos, Eliseo; Rivera, Ricardo; Navarro, Rafael
Affiliation:
Applied Optics Group, School of Physics, National University of Ireland, Galway, Ireland. eugenie.dalimier@nuigalway.ie
Citation:
Experimental validation of a Bayesian model of visual acuity. 2009, 9 (7):12 J Vis
Journal:
Journal of vision
Issue Date:
2009
URI:
http://hdl.handle.net/10147/94034
DOI:
10.1167/9.7.12
PubMed ID:
19761327
Abstract:
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.
Language:
en
MeSH:
Aberrometry; Adult; Bayes Theorem; Fixation, Ocular; Humans; Middle Aged; Models, Biological; Ocular Physiological Phenomena; Pattern Recognition, Visual; Refraction, Ocular; Visual Acuity; Young Adult
ISSN:
1534-7362

Full metadata record

DC FieldValue Language
dc.contributor.authorDalimier, Eugénieen
dc.contributor.authorPailos, Eliseoen
dc.contributor.authorRivera, Ricardoen
dc.contributor.authorNavarro, Rafaelen
dc.date.accessioned2010-03-10T10:07:09Z-
dc.date.available2010-03-10T10:07:09Z-
dc.date.issued2009-
dc.identifier.citationExperimental validation of a Bayesian model of visual acuity. 2009, 9 (7):12 J Visen
dc.identifier.issn1534-7362-
dc.identifier.pmid19761327-
dc.identifier.doi10.1167/9.7.12-
dc.identifier.urihttp://hdl.handle.net/10147/94034-
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.language.isoenen
dc.subject.meshAberrometry-
dc.subject.meshAdult-
dc.subject.meshBayes Theorem-
dc.subject.meshFixation, Ocular-
dc.subject.meshHumans-
dc.subject.meshMiddle Aged-
dc.subject.meshModels, Biological-
dc.subject.meshOcular Physiological Phenomena-
dc.subject.meshPattern Recognition, Visual-
dc.subject.meshRefraction, Ocular-
dc.subject.meshVisual Acuity-
dc.subject.meshYoung Adult-
dc.titleExperimental validation of a Bayesian model of visual acuity.en
dc.contributor.departmentApplied Optics Group, School of Physics, National University of Ireland, Galway, Ireland. eugenie.dalimier@nuigalway.ieen
dc.identifier.journalJournal of visionen

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