Dewen Seng, Zhongxue Li, Cuiping Li, and Chunmin Li, Application of marching cubes algorithm in visualization of mineral deposits, J. Univ. Sci. Technol. Beijing, 12(2005), No. 3, pp. 203-207.
Cite this article as:
Dewen Seng, Zhongxue Li, Cuiping Li, and Chunmin Li, Application of marching cubes algorithm in visualization of mineral deposits, J. Univ. Sci. Technol. Beijing, 12(2005), No. 3, pp. 203-207.
Dewen Seng, Zhongxue Li, Cuiping Li, and Chunmin Li, Application of marching cubes algorithm in visualization of mineral deposits, J. Univ. Sci. Technol. Beijing, 12(2005), No. 3, pp. 203-207.
Citation:
Dewen Seng, Zhongxue Li, Cuiping Li, and Chunmin Li, Application of marching cubes algorithm in visualization of mineral deposits, J. Univ. Sci. Technol. Beijing, 12(2005), No. 3, pp. 203-207.
An implementation scheme of the marching cubes (MC) algorithm was presented for the visualization of mineral deposits.The basic principles, processes and pitfalls of the MC algorithm were discussed. The asymptotic decider algorithm was employed to solve the ambiguity problem associated with the MC algorithm. The implementation scheme was applied to model and reconstruct the surfaces of mineral deposits, using the geological data obtained from an iron mine in China. Experimental results demonstrate the ability of the implementation scheme to solve the ambiguity problem, and illustrate the effectiveness and efficiency of the MC algorithm in the visualization of mineral deposits.
An implementation scheme of the marching cubes (MC) algorithm was presented for the visualization of mineral deposits.The basic principles, processes and pitfalls of the MC algorithm were discussed. The asymptotic decider algorithm was employed to solve the ambiguity problem associated with the MC algorithm. The implementation scheme was applied to model and reconstruct the surfaces of mineral deposits, using the geological data obtained from an iron mine in China. Experimental results demonstrate the ability of the implementation scheme to solve the ambiguity problem, and illustrate the effectiveness and efficiency of the MC algorithm in the visualization of mineral deposits.
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