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http://dx.doi.org/10.15701/kcgs.2015.21.3.36

Multi-platform Visualization System for Earth Environment Data  

Jeong, Seokcheol (Department of Multimedia, Dongguk University)
Jung, Seowon (Department of Multimedia, Dongguk University)
Kim, Jongyong (Department of Multimedia, Dongguk University)
Park, Sanghun (Department of Multimedia, Dongguk University)
Publication Information
Journal of the Korea Computer Graphics Society / v.21, no.3, 2015 , pp. 36-45 More about this Journal
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.
Keywords
scientific visualization; earth environment data; multi-platform; parallel/distribute computing;
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1 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.   DOI
2 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.
3 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.   DOI
4 D. Weiskopf, GPU-Based Interactive Visualization Techniques. Springer, 2006.
5 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.
6 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.
7 P. E. Debevec and J. Malik, "Recovering high dynamic range radiance maps from photographs," in Proceeding SIGGRAPH '08 ACM SIGGRAPH 2008, 2008.
8 C.Ware, "Color sequences for univariate maps:theory, experiments and principles," IEEE Computer Graphics and Applications, vol. 8, pp. 41-49, September 1988.
9 A. C. Telea, Data Visualization: Principles and Practice. AK PETERS, 2007.
10 C.Hansen and C. Johnson, The Visualization Handbook. Elsevier Inc, 2005.
11 C. Johnson, "Top Scientific Visualization Research Problems," IEEE Computer Graphics and Applications, vol. 24, pp. 13-17, July 2004.
12 E. Boring and A. Pang, "Directional flow visualization of vector fields," in Proceedings of the 7th conference on Visualization 96, 1996, p. 389.
13 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.
14 R. Rew and G. Davis, "NetCDF: An Interface for Scientific Data Access," IEEE Computer Graphics and Applications, vol. 10, pp. 76-82, July 1990.
15 NetCDF, http://www.unidata.ucar.edu/software/netcdf/.
16 J. Kruger and R. Westermann, "Acceleration Techniques for GPU-based Volume Rendering," in Proceedings of IEEE Visualization, 2003, p. 24.
17 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.