• Title/Summary/Keyword: ORB algorithm

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Implementation of Real time based Multi-object recognition algorithm (실시간 다중 객체인식 알고리즘 구현)

  • Park, Tae-Ryong
    • Journal of IKEEE
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    • v.17 no.1
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    • pp.51-56
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    • 2013
  • This thesis propose a improved matching method for implementing an ORB algorithm based multi-object recognition. SURF algorithm that is well known in the object recognition algorithms is robust in object recognition. However, there is a disadvantage for real time operation because, SURF implemention requires a lot of computation. Therefore we propose a modified ORB algorithm which shows the result of almost 70% speed improvement by improving matching part to recognize multi object on real time.

Implementation of a Single Image Detection and Tracking System in Multiple Images (다중 이미지에서 단일 이미지 검출 및 추적 시스템 구현)

  • Choi, Jaehak;Park, Inho;Kim, Seongyoon;Lee, Yonghwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.3
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    • pp.78-81
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    • 2017
  • Augmented Reality(AR) is the core technology of the future knowledge service industry. It is expected to be used in various fields such as medical, education, entertainment etc. Briefly, augmented reality technology is a technique in which a mapped virtual object is augmented when a real-world object is viewed through a device after mapping a real-world object and a virtual object. In this paper, we implemented object detection and tracking system, which is a key technology of augmented reality. To speed up the object tracking, the ORB algorithm, which is a lightweight algorithm compared to the detection algorithm, is applied. In addition, KNN classifier, which is a machine learning algorithm, was applied to detect a single object by learning multiple images.

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