Abstract
We propose a scalable framework for virtual reality systems in a distributed environment. As the application scope of and member participation in a virtual environment increase, information sharing among geographically distributed users becomes critical and challenging. In the proposed framework, we partition the virtual environment into a group of cells and upload them to a number of heterogeneous Internet nodes. When a user sends a request to explore the distant virtual environment, visible cells will be identified and processed in parallel to produce a minimal amount of imagery results for remote transmission. To ensure scalability, we extend our scalable occlusion culling scheme using Plenoptic Opacity Function to speed up the identification process of visible cells in a virtual environment. We perform effective occlusion culling in two passes based on a non-binary opacity definition. Our experimental results justify both the efficiency and scalability of our framework in exploring large-scale virtual environments.
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References
Joslin, C., Molet, T., Magnenat-Thalmann, N.: Distributed Virtual Reality Systems, citeseer.ist.psu.edu/534042.html
Ng, B., Lau, R.W.H., Si, A., Li, F.W.B.: Multi-Server Support for Large Scale Distributed Virtual Environment. IEEE Transactions on Multimedia 7(6), 1054–1065 (2005)
Beck, M., Moore, T., Plank, J.S.: An End-to-end Approach to Globally Scalable Network Storage. In: Proc. of ACM SIGCOMM (2002)
Lum, E., Ma, K., Clyne, J.: A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-varying Data. IEEE Trans. on Visualization and Computer Graphics 8(3), 286–301 (2002)
PlanetLab, http://www.planet-lab.org/
Gao, J., Shen, H.-W.: Parallel View-dependent Isosurface Extraction Using Multi-pass Occlusion Culling. In: Proc. IEEE Symposium in Parallel and Large Data Visualization and Graphics, pp. 67–74 (2001)
Gao, J., Huang, J., Shen, H.-W., Kohl, J.: Visibility Culling Using Plenoptic Opacity Functions for Large Volume Visualization. In: Proc. IEEE Visualization 2003, pp. 341–348 (2003)
Huang, J., Shareef, N., Crawfis, R., Sadayappan, P., Mueller, K.: A Parallel Splatting Algorithm with Occlusion Culling. In: Proc. 3rd Eurographics Workshop on Parallel Graphics and Visualization, pp. 125–132 (2000)
Zhang, H., Manocha, D., Hudson, T., Hoff III, K.E.: Visibility Culling Using Hierarchical Occlusion Maps. In: Proc. ACM SIGGRAPH 1997, pp. 77–88 (1997)
Klosowski, J., Silva, C.: Efficient Conservative Visibility Culling Using the Prioritizedlayered Projection Algorithm. IEEE Trans. on Visualization and Computer Graphics 7(4), 365–379 (2001)
Greene, N.: Hierarchical Polygon Tiling with Coverage Masks. In: Proc. SIGGRAPH 1996, pp. 65–74 (1996)
Coorg, S., Teller, S.: Temporally Coherence Conservative Visibility. In: Proc. Twelfth Annual Symposium on Computational Geometry, pp. 78–87 (1996)
Liu, Z., Finkelstein, A., Li, K.: Progressive view-dependent isosurface propagation. In: Proc. Vissym 2001 (2001)
Molnar, S., Cox, M., Ellsworth, D., Fuchs, H.: A sorting classification of parallel rendering. IEEE Computer Graphics and Applications 14(4), 23–32 (1994)
Samanta, R., Funkhouser, T., Li, K., Singh, J.P.: Hybrid sort-first and sort-last parallel rendering with a cluster of PCs. In: Eurographics Workshop on Graphics Hardware (2000)
Zhang, E., Turk, G.: Visibility-Guided Simplification. In: Proc. IEEE Visualization 2002, pp. 267–274 (2002)
Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical recipes in C: The art of scientific computing (1992)
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Wu, Q., Gao, J., Zhu, M. (2006). A Scalable Framework for Distributed Virtual Reality Using Heterogeneous Processors. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_32
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DOI: https://doi.org/10.1007/11941354_32
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