Real-Time Rendering for Large-Scale Underground Mine Scene

Abstract:

A virtual mine system involves masses of laneways and machinery with great number of model data, which restricts rendering speed seriously. In this paper, a rendering algorithm specially developed for virtual underground scenes is proposed. This algorithm considered each laneway as a visible area and applies the cuboid bounding boxes of laneways for the cameras inside-outside testing to determine the cameras position, consequently determined the visible regions and exclude invisible laneways as rendering. To decrease the calculations of inside-outside testing, octree was employed to reduce the detection scope. The experiment results indicated this algorithm was capable of substantially reducing rendering objects and had the obviously faster rendering speed than the conventional rendering acceleration algorithms.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 1374-1378
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.1374
• Online since: July 2013
• Authors: Da Jin Li
• Keywords: Octree, Real-Time Rendering, Virtual Mine, Virtual Reality (VR)

References

[1] Kizil M S, Hancock M G, Edmunds O T. Virtual Reality as a Training Tool. Proceedings of the Australian Institute of Mining and Metallurgy Youth Congress, Brisbane, Australia, Australasian Institute of Mining & Metallurgy. ( 2001), pp.9-12.

[2] T J Orr, L G Mallet, K A Margolis: Mining Engineering. Vol. 61, (2009. ).

[3] Li D. J. : Applied Mechanics and Materials Vol. 94-96, (2011), p.2051-(2056).

[4] Mallett L., Unger R. Virtual reality in mine training. Society for Mining, Metallurgy, and Exploration, Inc. , (2007), pp: 1-4.

[5] James H. Clark. : Communications of the ACM. Vol. 19(1976), p.547 – 554.

[6] Hoppe, H. Smooth view-dependent level-of-detail control and its application to terrain rendering. In proceedings of Visualization Conference. (1998), pp.35-42.

DOI: 10.1109/visual.1998.745282

[7] Peter L., David K., William R. and etc. Real-time, continuous level of detail rendering of height fields. In proceedings of SIGGRAPH'96. (1996) pp.109-118.

[8] Wolinsky, M. ;  Sigeti, D.E. ;  Miller, M.C. and etc.  ROAMing terrain: Real-time Optimally Adapting Meshes. proceedings of Visualization Conference, (1997), pp.81-88.

DOI: 10.1109/visual.1997.663860

[9] Henry Fuchs, ZviM. Kedem, Bruce F. Naylor: ACM SIGGRAPH Computer graphics, Vol. 14, (1980).

[10] Maciel P., Shirley, P.: Visual Navigation of Large Environments Using Textured Clusters , Proceedings of the ACM Siggraph'96. (1995), pp.95-102.

DOI: 10.1145/199404.199420

[11] Jeschke S. Accelerating the Rendering Process Using Impostors. PhD thesis, University Rostock, (2005).

[12] S. B. Kang. A survey of image-based rendering techniques, VideoMetrics, SPIE Vol. 3641, (1999), pp.2-16.