Journal of the Korea Computer Graphics Society (한국컴퓨터그래픽스학회논문지)

Korea Computer Graphics Society (한국컴퓨터그래픽스학회)
권호 표지
DOI QR코드

DOI QR Code

Multi-platform Visualization System for Earth Environment Data

지구환경 데이터를 위한 멀티플랫폼 가시화 시스템

  • 정석철 (동국대학교 멀티미디어학과) ;
  • 정서원 (동국대학교 멀티미디어학과) ;
  • 김종용 (동국대학교 멀티미디어학과) ;
  • 박상훈 (동국대학교 멀티미디어학과)
  • Received : 2015.06.20
  • Accepted : 2015.07.05
  • Published : 2015.07.14
Download PDF
⟨ Previous Next ⟩

Abstract

It is important subject of research in engineering and natural science field that creating continuing high-definition image from very large volume data. The necessity of software that helps analyze useful information in data has improved by effectively showing visual image information of high resolution data with visualization technique. In this paper, we designed multi-platform visualization system based on client-server to analyze and express earth environment data effectively constructed with observation and prediction. The visualization server comprised of cluster transfers data to clients through parallel/distributed computing, and the client is developed to be operated in various platform and visualize data. In addition, we aim user-friendly program through multi-touch, sensor and have made realistic simulation image with image-based lighting technique.

대용량 볼륨 데이터로부터 연속적인 고화질 영상을 생성하는 것은 공학이나 자연과학 분야에서 중요한 연구주제이다. 최신 가시화 기법을 이용해 고해상도데이터의 시각적 영상 정보를 효과적으로 보여줌으로써 데이터에 내재된 유용한 정보의 분석을 돕는 소프트웨어의 필요성이 증대되고 있다. 본 논문에서는 관측, 예측을 통해 구축된 지구환경 데이터를 효과적으로 분석, 표출하기 위해 클라이언트-서버기반의멀티플랫폼가시화시스템을설계했다.클러스터로구성된가시화서버는병렬/분산 처리를 통해 데이터를 클라이언트에게 전달하고, 클라이언트는 다양한 플랫폼에서 구동되도록 개발되었다. 개발된 클라이언트는 멀티 터치, 센서를 통해 직관적인 구동이 가능하고, 영상기반조명 기법의 적용으로 사실적인 렌더링을 지원한다.

Keywords

References

  1. C.Ware, "Color sequences for univariate maps:theory, experiments and principles," IEEE Computer Graphics and Applications, vol. 8, pp. 41-49, September 1988.
  2. A. C. Telea, Data Visualization: Principles and Practice. AK PETERS, 2007.
  3. C.Hansen and C. Johnson, The Visualization Handbook. Elsevier Inc, 2005.
  4. C. Johnson, "Top Scientific Visualization Research Problems," IEEE Computer Graphics and Applications, vol. 24, pp. 13-17, July 2004.
  5. E. Boring and A. Pang, "Directional flow visualization of vector fields," in Proceedings of the 7th conference on Visualization 96, 1996, p. 389.
  6. B. Cabral and L. C. Leedom, "Imaging vector fields using line integral convolution," in SIGGRAPH '93 Proceedings of the 20th annual conference, 1993, pp. 263-270.
  7. R. Rew and G. Davis, "NetCDF: An Interface for Scientific Data Access," IEEE Computer Graphics and Applications, vol. 10, pp. 76-82, July 1990.
  8. NetCDF, http://www.unidata.ucar.edu/software/netcdf/.
  9. J. Kruger and R. Westermann, "Acceleration Techniques for GPU-based Volume Rendering," in Proceedings of IEEE Visualization, 2003, p. 24.
  10. B. Wylie, C. Pavlakos, V. Lewis, and K. Morelan, "Scalable Rendering on PC Clusters," in Proceeding on IEEE Computer Graphics and Applications, 2001, pp. 67-70.
  11. S. Callahan, M. Ikits, J. Comba, and C. Silva, "Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering," IEEE Transactions on Visualization and Computer Graphics, vol. 11, pp. 285-295, June 2005. https://doi.org/10.1109/TVCG.2005.46
  12. J. Comba, J. Klosowski, N. Max, J. Mitchell, C. Silva, and P. Williams, "Fast Polyhedral Cell Sorting for Interactive Rendering of Unstructured Grids," in Proceeding on EUROGRAPHICS '99, 1999.
  13. R. Cook, N. Max, C. T. Silva, and P.Williams, "Efficient, Exact Visibility Ordering of Unstructured Meshes," IEEE Transactions on Visualization and Computer Graphics, vol. 10, pp. 695-707, 2004. https://doi.org/10.1109/TVCG.2004.45
  14. D. Weiskopf, GPU-Based Interactive Visualization Techniques. Springer, 2006.
  15. Z. Fan, F.Qiu, A. Kaufman, and S. Yoakum-Stover, "GPU Cluster for High Performance Computing," in Proceedings of ACM/IEEE conference on Supercomputing, 2004.
  16. K. Nishihashi, T. Higaki, K. Okabe, B. Raytchev, T. Tamaki, and K. Kaneda, "Volume Rendering Using Grid Computing for Large-scale Volume Data," International Journal of CAD, vol. 9, pp. 111-120, 2009.
  17. P. E. Debevec and J. Malik, "Recovering high dynamic range radiance maps from photographs," in Proceeding SIGGRAPH '08 ACM SIGGRAPH 2008, 2008.

Cited by

  1. 운고계 관측자료의 대화형 3차원 시각화 vol.24, pp.2, 2015, https://doi.org/10.15701/kcgs.2018.24.2.21
  2. 자연재난 데이터 실감 가시화 시스템 vol.24, pp.3, 2015, https://doi.org/10.15701/kcgs.2018.24.3.21