Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm

<p>The thesis presented in this paper is an attempt to quantify generally preferred amounts of virtual image sharpening in augmented reality applications. This preferred amount of sharpening is sought after in an effort to alleviate eye fatigue, and other negative symptoms, caused by accommoda...

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Main Author:	Cook III, Henry Ford
Other Authors:	Dr. John Edward Swan II
Format:	Others
Language:	en
Published:	MSSTATE 2017
Subjects:	Computer Science and Engineering
Online Access:	http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292017-141115/

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spelling	ndltd-MSSTATE-oai-library.msstate.edu-etd-06292017-1411152019-05-15T18:44:00Z Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm Cook III, Henry Ford Computer Science and Engineering <p>The thesis presented in this paper is an attempt to quantify generally preferred amounts of virtual image sharpening in augmented reality applications. This preferred amount of sharpening is sought after in an effort to alleviate eye fatigue, and other negative symptoms, caused by accommodation switching between virtual images and real objects in augmented reality (AR) systems. This is an important area of research within the AR world due to the presence of many AR applications that supplement the real world with virtual information, often in the form of virtual text for users to read. An experiment, involving human subjects choosing between higher and lower sharpening amounts, was run to expose preferred amounts of sharpening or patterns of chosen amounts in relation to a number of variables within the experiment; those variables are: virtual text accommodative distance, real text accommodative distance, and the object of focus (real or virtual). The results of this experimentation may benefit future AR research and implementations, specifically in how they handle users switching focus. </p> Dr. John Edward Swan II Dr. Cindy Bethel Dr. Stephen Ellis MSSTATE 2017-08-01 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292017-141115/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292017-141115/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report.
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	Computer Science and Engineering
spellingShingle	Computer Science and Engineering Cook III, Henry Ford Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
description	<p>The thesis presented in this paper is an attempt to quantify generally preferred amounts of virtual image sharpening in augmented reality applications. This preferred amount of sharpening is sought after in an effort to alleviate eye fatigue, and other negative symptoms, caused by accommodation switching between virtual images and real objects in augmented reality (AR) systems. This is an important area of research within the AR world due to the presence of many AR applications that supplement the real world with virtual information, often in the form of virtual text for users to read. An experiment, involving human subjects choosing between higher and lower sharpening amounts, was run to expose preferred amounts of sharpening or patterns of chosen amounts in relation to a number of variables within the experiment; those variables are: virtual text accommodative distance, real text accommodative distance, and the object of focus (real or virtual). The results of this experimentation may benefit future AR research and implementations, specifically in how they handle users switching focus. </p>
author2	Dr. John Edward Swan II
author_facet	Dr. John Edward Swan II Cook III, Henry Ford
author	Cook III, Henry Ford
author_sort	Cook III, Henry Ford
title	Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
title_short	Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
title_full	Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
title_fullStr	Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
title_full_unstemmed	Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm
title_sort	preferred amounts of virtual image sharpening in augmented reality applications using the sharpview algorithm
publisher	MSSTATE
publishDate	2017
url	http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292017-141115/
work_keys_str_mv	AT cookiiihenryford preferredamountsofvirtualimagesharpeninginaugmentedrealityapplicationsusingthesharpviewalgorithm
_version_	1719086205369319424

Preferred amounts of virtual image sharpening in augmented reality applications using the Sharpview algorithm

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