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Panoramic Imaging for Text Spotting.

ProQuest Information and Learning Co.

Panoramic Imaging for Text Spotting.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Panoramic Imaging for Text Spotting./
Author:	Ren, Peng.
Description:	1 online resource (46 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-05.
Contained By:	Masters Abstracts International57-05(E).
Subject:	Computer engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355865134

Panoramic Imaging for Text Spotting.
Ren, Peng.

Panoramic Imaging for Text Spotting. - 1 online resource (46 pages)

Source: Masters Abstracts International, Volume: 57-05.

Thesis (M.S.)--University of California, Santa Cruz, 2018.

Includes bibliographical references

Visually impaired people are a group of people who have some degree of vision loss. In order to help these people getting text information of surrounding space, I build an app that can detect text for visually impaired people. At first, the app takes images automatically, and then the google OCR API is used to find text spots and perform word recognition. After that, my app will notify the user of the text contents and positions. Since there is overlapping between adjacent images, the app might detect one text twice if the text exists in both photos. To solve this problem, homography matrices among pictures are calculated using feature detection and matching techniques. Besides, the panorama is used to illustrate my results. As a result, the app can detect text efficiently and reduce various difficulties that visually impaired people might meet in walking, navigating and so on.

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

Mode of access: World Wide Web

ISBN: 9780355865134Subjects--Topical Terms:

569006
Computer engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Panoramic Imaging for Text Spotting.
LDR:02044ntm a2200325Ki 4500 001 917116
005 20181005115848.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780355865134
035 $a (MiAaPQ)AAI10784389
035 $a (MiAaPQ)ucsc:11468
035 $a AAI10784389
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Ren, Peng. $3 1191057
245 1 0 $a Panoramic Imaging for Text Spotting.
264 0 $c 2018
300 $a 1 online resource (46 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: 57-05.
500 $a Adviser: Roberto Manduchi.
502 $a Thesis (M.S.)--University of California, Santa Cruz, 2018.
504 $a Includes bibliographical references
520 $a Visually impaired people are a group of people who have some degree of vision loss. In order to help these people getting text information of surrounding space, I build an app that can detect text for visually impaired people. At first, the app takes images automatically, and then the google OCR API is used to find text spots and perform word recognition. After that, my app will notify the user of the text contents and positions. Since there is overlapping between adjacent images, the app might detect one text twice if the text exists in both photos. To solve this problem, homography matrices among pictures are calculated using feature detection and matching techniques. Besides, the panorama is used to illustrate my results. As a result, the app can detect text efficiently and reduce various difficulties that visually impaired people might meet in walking, navigating and so on.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, Santa Cruz. $b Computer Engineering. $3 1180336
773 0 $t Masters Abstracts International $g 57-05(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10784389 $z click for full text (PQDT)

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