Fast Volume Rendering Techniques for 3D Reconstruction of Geological Objects

Abstract:

The procedure of volume rendering techniques is introduced. The principles and methods of two kinds of different volume rendering techniques of 3D spatial data are discussed. Application of Marching Cubes (MC) algorithm in the modeling of geological objects is given. This algorithm is modified and improved in several aspects. The asymptotic decider algorithm is employed to solve the ambiguity problem and oct-tree structure is used to reduce the number of polygons generated, which will increases the efficiency of the algorithm. The improved algorithm is applied to real geological data obtained from an iron mine in China. Real data derived from an iron mine of China demonstrates the effectiveness and efficiency of the system and the algorithms.

• Periodical: Applied Mechanics and Materials (Volumes 182-183)
• Pages: 1343-1346
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.182-183.1343
• Online since: June 2012
• Authors: De Wen Seng, Da Qing Li
• Keywords: Geological Objects, Marching Cubes Algorithm, Visualization, Volume Rendering

References

[1] J. Dollner, K. Hinrichs, An object-oriented approach for integrating 3D visualization systems and GIS, Computers & Geosciences, June 2000, pp.67-76.

DOI: 10.1016/s0098-3004(99)00038-2

[2] D. Seng, Z. Song, 3D interactive visualization system for cojmplex geologically related data. First international conference on intelligent networks and intelligent systems, Nov. 2008, pp.519-522.

DOI: 10.1109/icinis.2008.151

[3] ShipleyST，Graffman1 A. ArcView GIS is a Weather Proeessing System. ESRI International User Conference，Enviromnenta1 Svstems Resource Institute. San Diego，California，(1998).

[4] W. E., Lorensen, H. E. Cline, Marching Cubes: A High Resolution 3D Surface Construction Algorithm, Computer Graphics, vol. 21, no. 3, pp.163-169, July (1987).

DOI: 10.1145/37402.37422

[5] J. D. Boissonat. Shape reconstruction from planar cross sections. Computer Vision, Graphics and Image Processing, pp.1-29, April (1998).

DOI: 10.1016/s0734-189x(88)80028-8

[6] D. W. Seng, Z. X. Li, C. M. Li, 3D visual modeling system for mineral deposits, Journal of University of Science and Technology Beijing, Vol. 26, pp.453-456, March (2004).

[7] D. W. Seng, Z. X. Li, C. M. Li, Volume rendering techniques for visualization of mineral deposits, Journal of Liaoning Technical University, Vol. 24, pp.473-476, June (2005).

[8] D. W. Seng, H.X. Wang, G.Y. Yue, 3D modeling and visualization of complex geological structures using OpenGL. Boundaries of Rock Mechnics, Proceedings of the international young scholars' symposium on rock mechanics, pp.935-938, May (2008).

DOI: 10.1201/9780203883204.ch174

[9] D. W. Seng, Z. X. Li, C. M. Li, Application of marching cubes algorithm in visualization of mineral deposits, Journal of University of Science and Technology Beijing, pp.203-207, Mar. (2005).

[10] D. A. Rajon, W. E. Bolch, Marching cube algorithm: review and trilinear interpolation adaptation for image-based dosimetric models, Computerized Medical Imaging and Graphics, Vol. 27, pp.411-435, May (2003).

DOI: 10.1016/s0895-6111(03)00032-6

[11] M. Levoy, Display of Surfaces from Volume Data, IEEE Computer Graphics and Applications, Vol. 8, pp.29-37, March (1988).

DOI: 10.1109/38.511

[12] M. Levoy, Volume Rendering, A Hybrid Ray Tracer for Rendering Polygon and volume Data, IEEE Computer Graphics and Applications, Vol. 10, pp.33-40, March (1990).

DOI: 10.1109/38.50671

[13] D. Seng, Z. Song, 3D interactive visualization system for cojmplex geologically related data. First international conference on intelligent networks and intelligent systems, pp.519-522, Nov. (2008).

DOI: 10.1109/icinis.2008.151

[14] D.W. Seng, X. Liang, Visualization of large scale geographically related data in virtual 3D scenes with OpenGL, In Wang C., Zhong S. & Wei J. (ed), Second international conference on space information technology; Proceedings of SPIE Bellingham, WA: SPIE, pp.1027-1033, Nov, (2007).

DOI: 10.1117/12.773973