디지털융복합연구 (Journal of Digital Convergence)

  • 제13권12호
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  • Pages.203-208
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  • 2015
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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보정을 위한 고해상도 360° 프로젝션 영상 분석 방법

360° Projection Image Analysis Method for the Calibration

  • 한정수 (백석대학교 정보통신학부) ;
  • 김귀정 (건양대학교 의공학과)
  • Han, Jung-Soo (Division of Information & Communication, Baeseok Univ.) ;
  • Kim, Gui-Jung (Department of Biomedical Engineering, Konyang Univ.)
  • 투고 : 2015.10.24
  • 심사 : 2015.12.20
  • 발행 : 2015.12.28
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초록

테마파크, 홍보관, 과학관 등의 다면 영상시스템에서 초기 설치 시 빔 프로젝터들간의 하드웨어적 특성 및 설치 후 시간이 경과함에 따라 발생되는 영상의 열화 현상이 발생한다. 본 연구에서는 영상관의 품질과 유지보수의 어려움을 해결하기 위해 10비트 High-depth 및 고해상도 $360^{\circ}$ 프로젝션 영상 분석 기술을 연구하였다. 그 목적은 경제적 손실을 최소화하고, 영상의 품질을 효율적으로 지원할 수 있는 특수영상관 캘리브레이션 시스템 개발을 목표로 한다. 이를 위해 영상 분석 기술의 방법을 제안하였고, 영상 분석 기술에 대한 세부 기능과 평가방법 등을 설명하였다. 평가방법은 평가 항목별로 제시하였고, 실험 방법과 목표치에 대한 추정 값을 제시하였다.

Image degradation will occur depending on hardware characteristics according to the lapse of time between beam projectors when multivision system is installed in the Theme park/Exhibition/Science Museum. In this paper, we have researched the 10-bit High-depth and high-resolution $360^{\circ}$ projection image analysis technique to solve the problems of quality and the maintenance of the theater. The goal is to minimize the economic losses and the development of special theater calibration system that can efficiently support a quality of an image. We proposed the method of image analysis technology, and explained the detailed functions and evaluation methods for image analysis technique. Evaluation method included the performance items, and proposed reasonable value to the experimental method and the goal value.

키워드

참고문헌

  1. P. E. Debevec and J. Malik, "Recovering high dynamic range radiance maps from photographs," In proc. of SIGRAPH, vol.31, pp.369-378, Jul. 1997.
  2. Aditi Majumder, "Achieving color uniformity across multi-projector displays," In proc. of OEEE Visualization, pp.117-124, Oct. 2000.
  3. M. Tsukada and T. Tajima, "Projector color reproduction adapted to the colored wall projector," CGIV 2004, pp. 449-453, 2004.
  4. Nayar, Shree K., et al. "A projection system with radiometric compensation for screen imperfections." ICCV workshop on projector-camera systems (PROCAMS). Vol. 3. 2003.
  5. G. Wallace, H. Chen, and K. Li, "Color gamut matching for tiled display walls," In proc. of Immersive Projection Technology Symposium, pp.293-302, May 2003.
  6. Telecommunication Technology Association(TTA), TTAR-07.0015, "High-quality panoramic imaging technology report", November 21, 2014.
  7. D. Ch Kim, T. Hyung Lee, Y. Ho Ha, "Color correction method of the image projected on the screen with camera", The Institute of Electronics and Information and Engineers, Vol 48, SP, No.1, pp.16-22, Jan., 2011.
  8. K. J Kim, J. S Jo, "A study on the adaptive color correction for a portable projector", Conference on The Institute of Electronics and Information and Engineers, Vol 32, No. 2, pp.359-360, 2009년.
  9. LG Electronics, "Keystone correction apparatus and method of the LCD Projector", 2002, Patent, No. 020020003335.
  10. Samsung Electronics, "The projection lens of the projector shift adjustment device", 2003, Patent, No. 1020030085137.
  11. LG Electronics., "Video projector calibration and image correction method", 2008, Patent, No. 1020080088006.
  12. ITU-T FG IPTV-DOC-0187, "Performance Monitoring for IPTV", 2007. 12.
  13. ITU-T P.910, "SERIES P: TELEPHONE TRANSMISSION QUALITY, TELEPHONE INSTALLATIONS, LOCAL LINE NETWORKS", 1999. 9.
  14. ITU-R BT.500-11, "Methodology for the subjective assessment of the quality of television pictures"
  15. ITU-T J.247, "Objective perceptual multimedia video quality measurement in the presence of a full reference", 2008. 8.

피인용 문헌

  1. Construction and Analysis of Geospatial Information about Submerged District Using Unmanned Aerial System vol.14, pp.12, 2016, https://doi.org/10.14400/JDC.2016.14.12.225
  2. Color and Brightness Calibration Convergence Technology for 5D Virtual Reality Attractions vol.7, pp.1, 2016, https://doi.org/10.15207/JKCS.2016.7.1.025
  3. Calibration System Development for Multi-Image vol.14, pp.8, 2016, https://doi.org/10.14400/JDC.2016.14.8.305