Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
권호 표지
DOI QR코드

DOI QR Code

Image Annotation System for Mobile Augmented Reality Environment

모바일 환경의 증강현실 영상 주석 시스템

  • Received : 2015.01.24
  • Accepted : 2015.06.25
  • Published : 2015.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose an information service system using augmented reality technology on mobile devices. With the advancement in ICT technology the computer is smaller and easy to carry and developed into the tablet PC and the smartphone typically. The user can confirm and learn the desired data using the augmented reality technology, regardless of the environment. Padding the supplementary images or videos to the real image using the camera, we can have help from such additionally obtained images. In this paper, using an augmented reality technology on a tablet PC or smartphone environment, we implement a system for providing information to the user. This system can be utilized in all areas such as learning, entertainment, public relations and advertisement, etc.

본 연구에서는 모바일 기기에서 증강현실 기술을 이용한 정보제공 시스템을 제안한다. ICT 기술의 발전으로 일상에서 사용하는 컴퓨터가 소형화되고 휴대가 간편하게 발전된 형태의 대표적인 예로 태블릿 PC와 스마트폰을 들 수 있다. 환경에 구애받지 않고 본인이 원하는 자료를 증강현실 기술을 이용하여 확인하고 학습할 수 있다. 카메라를 이용한 실영상에 원하는 이미지, 영상 등을 추가하여 다양한 도움을 받을 수 있는 것이다. 본 논문에서는 태블릿 PC나 스마트폰 환경에서 증강현실 기술을 이용한 정보제공용 시스템을 구현하였다. 이러한 시스템은 학습, 오락, 광고홍보 등 모든 분야에서 활용 가능하다.

Keywords

References

  1. R. Azuma, "A survey of Augmented Reality," Teleoperators and Virtual Environments, pp.355-385, 1997.
  2. J. Hightower, and G. Borriello, "Location systems for ubiquitous computing," IEEE Computer, vol.34, no.8, pp. 57-66, Aug. 2001.
  3. Jae-Young Lee and Jun-Sik Kwon, "Touch-based Gaming System using Augmented Reality Technology", Journal of Digital Contents Society Vol. 15 No. 1, pp. 69-76, Feb. 2014. https://doi.org/10.9728/dcs.2014.15.1.69
  4. Y. Ohta, and H. Tamura, "Mixed Reality: Mergine Real and Virtual Worlds," Springer-Verlag, 1999.
  5. H. Kato, and M. Billinghurst, "Marker Tracking and HMD Calibration for a Video-based Augmented Reality Conferencing System," In Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality(IWAR '99), pp. 85-94, San Francisco, USA, Oct. 1999.
  6. H. Kato, M. Billinghurst, I. Poupyrev, K. Imamoto, and K. Tachibana, "Virtual object manipulation on a table-top AR environment," In Proceedings of IEEE and ACM International Symposium on Augmented Reality(ISAR 2000), pp. 111-119, Munich, Germany, Oct. 2000.
  7. D. Wanger, T. Langlotz and D. Schmalstieg, "Robust and Unbtrusive Marker Tracking on Mobile Phones," in Proc. IEEE and ACM International Symposium on Mixed and Augmented Reality, pp.225-234, 2008
  8. D. G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision, Vol.60, No.2, pp.91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
  9. H.Bay, T. tuytelaars and L. V. Gool, "SURF: Speeded Up Robust Features," Lecture Notes in Computer Science, Vol.3951, pp.404-417, 2006.
  10. E. Rosten, T. Drummond, "Machine learning for high-speed corner detection," European Conference on Computer Vision, 2006.
  11. Coltuc, D., Bolon, P, Chassery, J.-M., "Exact histogram specification ", IEEE Transaction on Image Processing, vol 15, issue 5, 1143-1152, 2006. https://doi.org/10.1109/TIP.2005.864170
  12. The Qualcomm Augmented Reality(QCAR) SDK, http://developer.qualcomm.com/dev/augmented-reality
  13. K. H. Kim and H. S. Park, "Trends of In-vehicle AR Technology", Electronics and Telecommunications Trends, Vol. 28, No. 4, pp. 45-52, Aug. 2013.
  14. B. J. Keum, H. S. Oh and S. P. Yoon "A Calibration Method for Augmented Reality Head-Up-Displays" KSAE Annual Conference, Vol.2014, No.11, 2014

Cited by

  1. Characteristics and Categorization of Fashion Films vol.66, pp.4, 2016, https://doi.org/10.7233/jksc.2016.66.4.128
  2. A Real-time Citrus Segmentation and Detection System using Mask R-CNN vol.19, pp.12, 2018, https://doi.org/10.9728/dcs.2018.19.12.2385
  3. 사용자 응시지점 정보기반 시선 추적 시스템 신뢰도 측정 기법 vol.17, pp.5, 2015, https://doi.org/10.9728/dcs.2016.17.5.367
  4. 마커 기술 및 AR을 이용한 도서 정보 제공 서비스를 위한 'Eye View' 어플리케이션의 구현 vol.18, pp.2, 2015, https://doi.org/10.9728/dcs.2017.18.2.257