國立虎尾科技大學 |

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm./
作者:	Cook, Henry.
面頁冊數:	1 online resource (56 pages)
附註:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355146691

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.
Cook, Henry.

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm. - 1 online resource (56 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355146691Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.
LDR:02381ntm a2200337Ki 4500 001 909013
005 20180419104824.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355146691
035 $a (MiAaPQ)AAI10607603
035 $a (MiAaPQ)msstate:13064
035 $a AAI10607603
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Cook, Henry. $3 1179494
245 1 0 $a Preferred Amounts of Virtual Image Sharpening in Augmented Reality Applications Using the Sharpview Algorithm.
264 0 $c 2017
300 $a 1 online resource (56 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-06.
500 $a Adviser: John E. Swan, II.
502 $a Thesis (M.S.) $c Mississippi State University $d 2017.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Mississippi State University. $b Computer Science and Engineering. $3 1179316
773 0 $t Masters Abstracts International $g 56-06(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10607603 $z click for full text (PQDT)