2021, 3(4): 336-349
Published Date:2021-8-20 DOI: 10.1016/j.vrih.2021.08.006
A marching cube algorithm based on edge growth
Abstract
Keyword
Cite this article
References
1.
Newman T S, Yi H. A survey of the marching cubes algorithm. Computers & Graphics, 2006, 30(5): 854–879 DOI:10.1016/j.cag.2006.07.021
2.
Keppel E. Approximating complex surfaces by triangulation of contour lines. IBM Journal of Research and Development, 1975, 19(1): 2–11 DOI:10.1147/rd.191.0002
3.
Herman G T, Liu H K. Three-dimensional display of human organs from computed tomograms. Computer Graphics and Image Processing, 1979, 9(1): 1–21 DOI:10.1016/0146-664x(79)90079-0
4.
Cline H E, Lorensen W E, Ludke S, Crawford C R, Teeter B C. Two algorithms for the three-dimensional reconstruction of tomograms. Medical Physics, 1988, 15(3): 320–327 DOI:10.1118/1.596225
5.
Lorensen W E, Cline H E. Marching cubes: a high resolution 3D surface construction algorithm. ACM SIGGRAPH Computer Graphics, 1987, 21(4): 163–169 DOI:10.1145/37402.37422
6.
Jin J, Wang Q, Shen Y, Hao J S. An improved marching cubes method for surface reconstruction of volume data. In: 2006 6th World Congress on Intelligent Control and Automation. Dalian, China, IEEE, 2006, 10454–10457 DOI:10.1109/wcica.2006.1714052
7.
Dürst M J. Re: Additional reference to marching cubes. ACM SIGGRAPH Computer Graphics, 1988, 22(5): 243 DOI:10.1145/378267.378271
8.
Shirley P, Tuchman A. A polygonal approximation to direct scalar volume rendering. ACM SIGGRAPH Computer Graphics, 1990, 24(5): 63–70 DOI:10.1145/99308.99322
9.
Nielson G M, Hamann B. The asymptotic decider: resolving the ambiguity in marching cubes. Proceeding Visualization'91, 1991, 83–91 DOI:10.1109/visual.1991.175782
10.
van Gelder A, Wilhelms J. Topological considerations in isosurface generation. ACM Transactions on Graphics, 1994, 13(4): 337–375 DOI:10.1145/195826.195828
11.
Zhou C, Shu R B, Kankanhalli M S. Handling small features in isosurface generation using Marching Cubes. Computers & Graphics, 1994, 18(6): 845–848 DOI:10.1016/0097-8493(94)90011-6
12.
Masala G L, Golosio B, Oliva P. An improved Marching Cube algorithm for 3D data segmentation. Computer Physics Communications, 2013, 184(3): 777–782 DOI:10.1016/j.cpc.2012.09.030
13.
Cercos-Pita J L, Cal I R, Duque D, de Moreta G S. NASAL-Geom, a free upper respiratory tract 3D model reconstruction software. Computer Physics Communications, 2018, 223: 55–68 DOI:10.1016/j.cpc.2017.10.008
14.
Wilhelms J, van Gelder A. Octrees for faster isosurface generation. ACM Transactions on Graphics, 1992, 11(3): 201–227 DOI:10.1145/130881.130882
15.
Montani C, Scateni R, Scopigno R. Decreasing isosurface complexity via discrete fitting. Computer Aided Geometric Design, 2000, 17(3): 207–232 DOI:10.1016/s0167-8396(99)00049-7
16.
Lakshmipathy J, Nowinski W L, Wernert E A. A novel approach to extract triangle strips for iso-surfaces in volumes. VRCAI '04: Proceedings of the 2004 ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry. 2004: 239–245 DOI:10.1145/1044588.1044639
17.
Vignoles G L, Donias M, Mulat C, Germain C, Delesse J F. Simplified marching cubes: an efficient discretization scheme for simulations of deposition/ablation in complex media. Computational Materials Science, 2011, 50(3): 893–902 DOI:10.1016/j.commatsci.2010.10.027
Related
1. Pingbo HU, Bisheng YANG, Visual perception driven 3D building structure representa-tion from airborne laser scanning point cloud Virtual Reality & Intelligent Hardware 2020, 2(3): 261-275