Remote Visualization Using Resource Monitoring Technique for Volume Rendering of Large Datasets

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2004 Symposium on Applications and the Internet (SAINT'04)

Tokyo, Japan

January 26-January 30

ISBN: 0-7695-2068-5

	ASCII Text	x
	Yasuo Ebara, Yasuhiro Watashiba, Koji Koyamada, Koji Sakai, Akio Doi, "Remote Visualization Using Resource Monitoring Technique for Volume Rendering of Large Datasets," Applications and the Internet, IEEE/IPSJ International Symposium on, pp. 309, 2004 Symposium on Applications and the Internet (SAINT'04), 2004.

	BibTex	x
	@article{ 10.1109/SAINT.2004.1266135, author = {Yasuo Ebara and Yasuhiro Watashiba and Koji Koyamada and Koji Sakai and Akio Doi}, title = {Remote Visualization Using Resource Monitoring Technique for Volume Rendering of Large Datasets}, journal ={Applications and the Internet, IEEE/IPSJ International Symposium on}, volume = {0}, year = {2004}, isbn = {0-7695-2068-5}, pages = {309}, doi = {http://doi.ieeecomputersociety.org/10.1109/SAINT.2004.1266135}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Applications and the Internet, IEEE/IPSJ International Symposium on TI - Remote Visualization Using Resource Monitoring Technique for Volume Rendering of Large Datasets SN - 0-7695-2068-5 SP EP A1 - Yasuo Ebara, A1 - Yasuhiro Watashiba, A1 - Koji Koyamada, A1 - Koji Sakai, A1 - Akio Doi, PY - 2004 KW - null VL - 0 JA - Applications and the Internet, IEEE/IPSJ International Symposium on ER -

Yasuo Ebara, Kyoto University

Yasuhiro Watashiba, Kyoto University

Koji Koyamada, Kyoto University

Koji Sakai, Iwate Prefectural University

Akio Doi, Iwate Prefectural University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SAINT.2004.1266135

We present a remote visualization using resource monitoring technique for volume rendering which breaks a large volume data into pieces (sub-volumes) so as to maintain volume rendering processing in physical memory in consideration of the available system resources. Each sub-volume is transferred to a rendering PC (personal computer), which performs hardware accelerated volume rendering and generates a partial image (sub-image). The sub-images are piled up in depth order to complete the .nal image. This technique has been applied to remote visualization of 3-D finite element analysis result of 3-D flow through a lateral saccular aneurysm, and we evaluated at remote places between Kyoto and Iwate. As a result, we showed that it is possible to perform rendering of large dataset that surpasses the available resource on the client side, and our technique was effective the remote visualization.

Citation:

Yasuo Ebara, Yasuhiro Watashiba, Koji Koyamada, Koji Sakai, Akio Doi, "Remote Visualization Using Resource Monitoring Technique for Volume Rendering of Large Datasets," saint, pp.309, 2004 Symposium on Applications and the Internet (SAINT'04), 2004

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