Visual performance prediction using schematic eye models.

The goal of visual modeling is to predict the visual performance or a change in performance of an individual from a model of the human visual system. In designing a model of the human visual system, two distinct functions are considered. The first is the production of an image incident on the retina...

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Main Author: Schwiegerling, James Theodore.
Other Authors: Greivenkamp, John
Language:en
Published: The University of Arizona. 1995
Online Access:http://hdl.handle.net/10150/187327
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-1873272015-10-23T04:34:19Z Visual performance prediction using schematic eye models. Schwiegerling, James Theodore. Greivenkamp, John Miller, Joseph M. Snyder, Robert W. The goal of visual modeling is to predict the visual performance or a change in performance of an individual from a model of the human visual system. In designing a model of the human visual system, two distinct functions are considered. The first is the production of an image incident on the retina by the optical system of the eye, and the second is the conversion of this image into a perceived image by the retina and brain. The eye optics are evaluated using raytracing techniques familiar to the optical engineer. The effect of the retinal and brain function are combined with the raytracing results by analyzing the modulation of the retinal image. Each of these processes is important far evaluating the performance of the entire visual system. Techniques for converting the abstract system performance measures used by optical engineers into clinically-applicable measures such as visual acuity and contrast sensitivity are developed in this dissertation. Furthermore, a methodology for applying videokeratoscopic height data to the visual model is outlined. These tools are useful in modeling the visual effects of corrective lenses, ocular maladies and refractive surgeries. The modeling techniques are applied to examples of soft contact lenses, keratoconus, radial keratotomy, photorefractive keratectomy and automated lamellar keratoplasty. The modeling tools developed in this dissertation are meant to be general and modular. As improvements to the measurements of the properties and functionality of the various visual components are made, the new information can be incorporated into the visual system model. Furthermore, the examples discussed here represent only a small subset of the applications of the visual model. Additional ocular maladies and emerging refractive surgeries can be modeled as well. 1995 text Dissertation-Reproduction (electronic) http://hdl.handle.net/10150/187327 9620387 en Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language en
sources NDLTD
description The goal of visual modeling is to predict the visual performance or a change in performance of an individual from a model of the human visual system. In designing a model of the human visual system, two distinct functions are considered. The first is the production of an image incident on the retina by the optical system of the eye, and the second is the conversion of this image into a perceived image by the retina and brain. The eye optics are evaluated using raytracing techniques familiar to the optical engineer. The effect of the retinal and brain function are combined with the raytracing results by analyzing the modulation of the retinal image. Each of these processes is important far evaluating the performance of the entire visual system. Techniques for converting the abstract system performance measures used by optical engineers into clinically-applicable measures such as visual acuity and contrast sensitivity are developed in this dissertation. Furthermore, a methodology for applying videokeratoscopic height data to the visual model is outlined. These tools are useful in modeling the visual effects of corrective lenses, ocular maladies and refractive surgeries. The modeling techniques are applied to examples of soft contact lenses, keratoconus, radial keratotomy, photorefractive keratectomy and automated lamellar keratoplasty. The modeling tools developed in this dissertation are meant to be general and modular. As improvements to the measurements of the properties and functionality of the various visual components are made, the new information can be incorporated into the visual system model. Furthermore, the examples discussed here represent only a small subset of the applications of the visual model. Additional ocular maladies and emerging refractive surgeries can be modeled as well.
author2 Greivenkamp, John
author_facet Greivenkamp, John
Schwiegerling, James Theodore.
author Schwiegerling, James Theodore.
spellingShingle Schwiegerling, James Theodore.
Visual performance prediction using schematic eye models.
author_sort Schwiegerling, James Theodore.
title Visual performance prediction using schematic eye models.
title_short Visual performance prediction using schematic eye models.
title_full Visual performance prediction using schematic eye models.
title_fullStr Visual performance prediction using schematic eye models.
title_full_unstemmed Visual performance prediction using schematic eye models.
title_sort visual performance prediction using schematic eye models.
publisher The University of Arizona.
publishDate 1995
url http://hdl.handle.net/10150/187327
work_keys_str_mv AT schwiegerlingjamestheodore visualperformancepredictionusingschematiceyemodels
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