%0 Generic %1 noauthororeditor2013predicting %A watson, Andrew B %B Watson Author Home Page Send Mail to Author 1 and Albert J. Ahumada Jr Author Home Page Send Mail to Author 2 + Author Affiliations 1 NASA Ames Research Center, Moffett Field, CA, USA 2 NASA Ames Research Center,ARVO Articles citing this article Information Organization in the Airline Cockpit: Lessons From Flight 236 Journal of Cognitive Engineering and Decision Making June 19,Abstract Full Text Full Text(PDF) %D 2013 %J Accepted February %K vision %P 1555343413492983 v 1-1555343413492983 %T Predicting visual acuity from wavefront aberrations Andrew B.Abstract It is now possible to routinely measure the aberrations of the human eye, but there is as yet no established metric that relates aberrations to visual acuity. A number of metrics have been proposed and evaluated, and some perform well on particular sets of evaluation data. But these metrics are not based on a plausible model of the letter acuity task and may not generalize to other sets of aberrations, other data sets, or to other acuity tasks. Here we provide a model of the acuity task that incorporates optical and neural filtering, neural noise, and an ideal decision rule. The model provides an excellent account of one large set of evaluation data. Several suboptimal rules perform almost as well. A simple metric derived from this model also provides a good account of the data set. Keywords Sloan letters letter identification pattern recognition Zernike polynomials autorefraction Footnotes Received April 17, 2007 %U http://www.journalofvision.org/content/8/4/17 %V 20, 2008. 2008

@misc{noauthororeditor2013predicting, added-at = {2014-02-27T08:26:26.000+0100}, author = {watson, Andrew B}, biburl = {https://www.bibsonomy.org/bibtex/2980c62b431a9d7964261434af400cb84/maxt.glappos}, booktitle = {Watson Author Home Page Send Mail to Author 1 and Albert J. Ahumada Jr Author Home Page Send Mail to Author 2 + Author Affiliations 1 NASA Ames Research Center, Moffett Field, CA, USA 2 NASA Ames Research Center,ARVO Articles citing this article Information Organization in the Airline Cockpit: Lessons From Flight 236 Journal of Cognitive Engineering and Decision Making June 19,Abstract Full Text Full Text(PDF)}, description = {Predicting visual acuity from wavefront aberrations}, interhash = {e69e62f66d3dfa32417d9ac8586f7c58}, intrahash = {980c62b431a9d7964261434af400cb84}, journal = {Accepted February}, keywords = {vision}, location = {Moffett Field, CA}, pages = {1555343413492983 v 1-1555343413492983}, timestamp = {2014-02-27T08:26:26.000+0100}, title = {Predicting visual acuity from wavefront aberrations Andrew B.Abstract It is now possible to routinely measure the aberrations of the human eye, but there is as yet no established metric that relates aberrations to visual acuity. A number of metrics have been proposed and evaluated, and some perform well on particular sets of evaluation data. But these metrics are not based on a plausible model of the letter acuity task and may not generalize to other sets of aberrations, other data sets, or to other acuity tasks. Here we provide a model of the acuity task that incorporates optical and neural filtering, neural noise, and an ideal decision rule. The model provides an excellent account of one large set of evaluation data. Several suboptimal rules perform almost as well. A simple metric derived from this model also provides a good account of the data set. Keywords Sloan letters letter identification pattern recognition Zernike polynomials autorefraction Footnotes Received April 17, 2007}, url = {http://www.journalofvision.org/content/8/4/17}, volume = {20, 2008. 2008}, year = 2013 }