Study of Methodology for Recognizing Multiple Objects

Lee Hyun Chang; 고진광

KJC Korea
Journal Central

Journal of The Korea Society of Computer and Information 2021 KCI Impact Factor : 0.62

Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

http://journal.kci.go.kr/jksci

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Study of Methodology for Recognizing Multiple Objects

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2008, 13(7), pp.51-57

Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Lee Hyun Chang ¹, 고진광 ²

¹원광대학교
²순천대학교

ABSTRACT
열림/닫힘 버튼

In recent computer vision or robotics fields, the research area of object recognition from image using low cost web camera or other video device is performed actively. As study for this, there are various methodologies suggested to retrieve objects in robotics and vision research areas. Also, robotics is designed and manufactured to aim at doing like human being. For instance, a person perceives apples as one see apples because of previously knowing the fact that it is apple in one's mind. Like this, robotics need to store the information of any object of what the robotics see. Therefore, in this paper, we propose an methodology that we can rapidly recognize objects which is stored in object database by using SIFT (scale invariant feature transform) algorithm to get information about the object. And then we implement the methodology to enable to recognize simultaneously multiple objects in an image.
KEYWORDS
열림/닫힘 버튼

object recognition, feature, data retrieve

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REFERENCES (11)
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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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