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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 : Engineering > Computer Science

Hyun Chang LEE 1 고진광 2

1원광대학교
2순천대학교

Accredited

ABSTRACT

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.

Citation status

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