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Panoramic Imaging for Text Spotting.

Ren, Peng.

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Panoramic Imaging for Text Spotting.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Panoramic Imaging for Text Spotting./
Author:	Ren, Peng.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	46 p.
Notes:	Source: Masters Abstracts International, Volume: 57-05.
Contained By:	Masters Abstracts International57-05(E).
Subject:	Computer engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10784389
ISBN:	9780355865134

Panoramic Imaging for Text Spotting.
Ren, Peng.

Panoramic Imaging for Text Spotting. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 46 p.

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

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

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.

ISBN: 9780355865134Subjects--Topical Terms:

621879
Computer engineering.

Panoramic Imaging for Text Spotting.
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100 1 $a Ren, Peng. $3 3350595
245 1 0 $a Panoramic Imaging for Text Spotting.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 46 p.
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.
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.
590 $a School code: 0036.
650 4 $a Computer engineering. $3 621879
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710 2 $a University of California, Santa Cruz. $b Computer Engineering. $3 2094083
773 0 $t Masters Abstracts International $g 57-05(E).
790 $a 0036
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10784389