Object Recognition Algorithm with Partial Information

Due to the development of video and optical technology today, video equipments are being used in a variety of fields such as identification, security maintenance, and factory automation systems that generate products. In this paper, we investigate an algorithm that effectively recognizes an experime...

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Vydáno v:International Journal of Advanced Culture Technology(IJACT) Ročník 7; číslo 4; s. 229 - 235
Hlavní autor: Yoo, Suk Won
Médium: Journal Article
Jazyk:angličtina
korejština
Vydáno: 국제문화기술진흥원 31.12.2019
Témata:
과학기술학
Image Comparison
External Outline
Object Recognition
Edge Detection
Feature Extraction
Image Device
Partial Information
ISSN:2288-7202, 2233-7318, 2288-7318
On-line přístup:Získat plný text
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Popis
Shrnutí:Due to the development of video and optical technology today, video equipments are being used in a variety of fields such as identification, security maintenance, and factory automation systems that generate products. In this paper, we investigate an algorithm that effectively recognizes an experimental object in an input image with a partial problem due to the mechanical problem of the input imaging device. The object recognition algorithm proposed in this paper moves and rotates the vertices constituting the outline of the experimental object to the positions of the respective vertices constituting the outline of the DB model. Then, the discordance values between the moved and rotated experimental object and the corresponding DB model are calculated, and the minimum discordance value is selected. This minimum value is the final discordance value between the experimental object and the corresponding DB model, and the DB model with the minimum discordance value is selected as the recognition result for the experimental object. The proposed object recognition method obtains satisfactory recognition results using only partial information of the experimental object.
Bibliografie:KISTI1.1003/JNL.JAKO201909055503849
http://www.ipact.kr/eng/bbs/board.php?bo_table=Recent_Issue_ijasc&wr_id=35
ISSN:2288-7202
2233-7318
2288-7318