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Vuforia의 마커 기반 트래킹을 이용한 멀티 마커 증강 현실 시스템

Multi-Marker Augmented Reality System using Marker-Based Tracking with Vuforia

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참고문헌

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주제분류컴퓨터학

초록

As interest in augmented reality has increased recently, attempts have been made to incorporate augmented reality into various fields. In implementing augmented reality, the method by which markers are used is to extract feature points of markers to recognize 3D coordinates and, in some cases, it is necessary to recognize multiple markers simultaneously. Therefore, this paper proposes optimization methods for recognising multiple markers at the same time. Unity 3D and augmented reality library Vuforia are used to implement the experimental environment. The augmented reality program produced was implemented in an application form and tested using a mobile camera. We looked for optimization methods for manufacturing markers directly and for recognizing multiple markers through changes in the experimental environment. The results of the experiment can provide a higher recognition rate in an environment where multiple marker recognition is required later.

Abstract

As interest in augmented reality has increased recently, attempts have been made to incorporate augmented reality into various fields. In implementing augmented reality, the method by which markers are used is to extract feature points of markers to recognize 3D coordinates and, in some cases, it is necessary to recognize multiple markers simultaneously. Therefore, this paper proposes optimization methods for recognising multiple markers at the same time. Unity 3D and augmented reality library Vuforia are used to implement the experimental environment. The augmented reality program produced was implemented in an application form and tested using a mobile camera. We looked for optimization methods for manufacturing markers directly and for recognizing multiple markers through changes in the experimental environment. The results of the experiment can provide a higher recognition rate in an environment where multiple marker recognition is required later.

참고문헌 (17)

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  2. Dong-Cheol Kim, "Status and Prospect of Augmented Reality 2. 0 and Content Application Technology", The Journal of The Korean Institute of Communication Sciences, 28(6), pp.54~60 (2011)
  3. Jae-In Hwang, "Trends and Prospects of Mobile Augmented Reality Research", Korea Institute of Information Technology Magazine, 11(2), pp.85~90 (2013)
  4. 김재필, "증강현실을 활용한 모바일 위치기반 응용서비스 앱 개발", 한국정보통신학회논문지, 18(6), pp.1481~1487 (2014), 한국정보통신학회[DOI]
  5. Ho-Kyun Jung, "Tangible AR Interaction using Enhanced Tracking with Small-Sized Markers", Proceedings of Korean Computational Design and Engineering, pp.675~677 (2013)
  6. 구자명, "효율적인 레퍼런스 데이터 그룹의 활용에 의한마커리스 증강현실의 구현", 한국정보통신학회논문지, 13(11), pp.2335~2340 (2009), 한국정보통신학회
  7. Hyeon-Sub Jung, "Performance improvement for marker-less object recognition through OpenCV mobile library", Proceedings of the Korean Society of Computer Information Conference, 21(2), pp.61~64 (2013)
  8. Ahyun Lee, "Estimation Marker Coordinates in Augmented Reality System based on Marker", Proceedings of Korea Electronic Engineering Association, pp.1511~1514 (2010)
  9. Chunghyun Choe, "Real-Time Marker Image Extraction Method for Marker-based Augmented Reality Contents", Proceedings of the Korean Society of Computer Information Conference, 23(1), pp.781~782 (2016)
  10. 문지원, "다수 마커를 활용한 영상 기반 다중사용자 증강현실 시스템", 멀티미디어학회논문지, 21(10), pp.1162~1170 (2018), 한국멀티미디어학회[DOI]
  11. 김학희, "증강현실 구현을 위한 Multi-Marker에 관한 기법", 한국컴퓨터정보학회논문지, 15(11), pp.109~116 (2010), 한국컴퓨터정보학회
  12. Dongwoo Park, "Marker-based AR System using multiple marker and Corner Points Tracking", Proceedings of Korea Electronic Engineering Association, pp.1228~1231 (2018)
  13. Chang-uk Kim, "The Recognition Method For Mobile Augmented Reality Markers", INFORMATION AND CONTROL SYMPOSI UM, pp.221~222 (2010)
  14. "Augmented reality domestic and overseas technology trends and development prospects"[URL]
  15. 김상철, "객체 인식을 위한 SIFT 템플릿 생성 및 매칭 방법", 정보과학회 컴퓨팅의 실제 논문지, 20(6), pp.364~368 (2014), 한국정보과학회
  16. 염민교, "스테레오 영상의 효율적 매칭을 위한 개선된 SURF 알고리즘 개발", 대한공간정보학회지, 21(2), pp.9~15 (2013), 대한공간정보학회[DOI]
  17. "Augmented Reality Based Firefighting Vehicle Maintenance Training System"[URL]

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