| On the difficulty of tetrahedralizing 3-dimensional non-convex polyhedra |
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Annual Symposium on Computational Geometry
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Proceedings of the fifth annual symposium on Computational geometry
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Saarbruchen, West Germany
Pages: 380 - 392
Year of Publication: 1989
ISBN:0-89791-318-3
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Authors
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J. Ruppert
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Computer Science Division, University of California at Berkeley
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R. Seidel
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Computer Science Division, University of California at Berkeley
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Downloads (6 Weeks): 5, Downloads (12 Months): 35, Citation Count: 5
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ABSTRACT
A number of different polyhedral decomposition problems have previously been studied, most notably the problem of triangulating a simple polygon. We are concerned with the tetrahedralization problem: decomposing a 3-dimensional polyhedron into a set of non-overlapping tetrahedra whose vertices are chosen from the vertices of the polyhedron. It has previously been shown that some polyhedra cannot be tetrahedralized in this fashion. We show that the problem of deciding whether a given polyhedron can be tetrahedralized is NP-complete, and hence likely to be computationally intractable. The problem remains NP-complete when restricted to the case of star-shaped polyhedra. Various versions of the question of how many Steiner points are needed to tetrahedralize a polyhedron also turn out to be NP-complete.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 5
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Pankaj K. Agarwal , Boris Aronov , Subhash Suri, Stabbing triangulations by lines in 3D, Proceedings of the eleventh annual symposium on Computational geometry, p.267-276, June 05-07, 1995, Vancouver, British Columbia, Canada
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