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Face Recognition Technique for Blurr...

Visweswaran, Krishnan.

Face Recognition Technique for Blurred/Unclear Images.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Face Recognition Technique for Blurred/Unclear Images./
作者:	Visweswaran, Krishnan.
面頁冊數:	1 online resource (33 pages)
附註:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781369805055

Face Recognition Technique for Blurred/Unclear Images.
Visweswaran, Krishnan.

Face Recognition Technique for Blurred/Unclear Images. - 1 online resource (33 pages)

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--California State University, Long Beach, 2017.

Includes bibliographical references

The purpose of this project is to invalidate the existing methods for performing facial recognition. Facial recognition considers many aspects before its actual operations are performed. Many situations must also be considered such as the angle of the camera, the aspect ratio and motion of the object with respect to the camera, and the shutter speed of the camera. There are many techniques that have been implemented for face recognition, but many of these techniques have problems recognizing a blurred image. These detection problems can be eliminated by using three algorithms: illumination, blurring, and pose. These algorithms will sequentially be more effective than the existing methods and will prove a definite solution for facial recognition in a blurred state.

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

Mode of access: World Wide Web

ISBN: 9781369805055Subjects--Topical Terms:

561152
Engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Face Recognition Technique for Blurred/Unclear Images.
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035 $a AAI10263528
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100 1 $a Visweswaran, Krishnan. $3 1194168
245 1 0 $a Face Recognition Technique for Blurred/Unclear Images.
264 0 $c 2017
300 $a 1 online resource (33 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: 56-04.
500 $a Adviser: Hen-Geul Yeh.
502 $a Thesis (M.S.)--California State University, Long Beach, 2017.
504 $a Includes bibliographical references
520 $a The purpose of this project is to invalidate the existing methods for performing facial recognition. Facial recognition considers many aspects before its actual operations are performed. Many situations must also be considered such as the angle of the camera, the aspect ratio and motion of the object with respect to the camera, and the shutter speed of the camera. There are many techniques that have been implemented for face recognition, but many of these techniques have problems recognizing a blurred image. These detection problems can be eliminated by using three algorithms: illumination, blurring, and pose. These algorithms will sequentially be more effective than the existing methods and will prove a definite solution for facial recognition in a blurred state.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Engineering. $3 561152
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0537
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a California State University, Long Beach. $b Electrical Engineering. $3 1180451
773 0 $t Masters Abstracts International $g 56-04(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10263528 $z click for full text (PQDT)

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