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Panoramic Imaging for Text Spotting.
~
ProQuest Information and Learning Co.
Panoramic Imaging for Text Spotting.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Panoramic Imaging for Text Spotting./
作者:
Ren, Peng.
面頁冊數:
1 online resource (46 pages)
附註:
Source: Masters Abstracts International, Volume: 57-05.
Contained By:
Masters Abstracts International57-05(E).
標題:
Computer engineering. -
電子資源:
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.
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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.
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Ann Arbor, Mich. :
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ProQuest,
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