Vertical decompositions for triangles in 3-space |
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Authors: | M de Berg L J Guibas D Halperin |
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Institution: | (1) Department of Computer Science, Utrecht University, P.O. Box 80.089, 3508 TB Utrecht, The Netherlands;(2) Department of Computer Science, Stanford University, 94305 Stanford, CA, USA;(3) Robotics Laboratory, Department of Computer Science, Stanford University, 94305 Stanford, CA, USA |
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Abstract: | We prove that, for any constant ɛ>0, the complexity of the vertical decomposition of a set ofn triangles in three-dimensional space isO(n
2+ɛ
+K), whereK is the complexity of the arrangement of the triangles. For a single cell the complexity of the vertical decomposition is
shown to beO(n
2+ɛ
). These bounds are almost tight in the worst case.
We also give a deterministic output-sensitive algorithm for computing the vertical decomposition that runs inO(n
2
logn+V logn) time, whereV is the complexity of the decomposition. The algorithm is reasonably simple (in particular, it tries to perform as much of
the computation in two-dimensional spaces as possible) and thus is a good candidate for efficient implementations.
The algorithm is extended to compute the vertical decomposition of arrangements ofn algebraic surface patches of constant maximum degree in three-dimensional space in timeO(nλ
q
(n) logn +V logn), whereV is the combinatorial complexity of the vertical decomposition, λ
q
(n) is a near-linear function related to Davenport-Schinzel sequences, andq is a constant that depends on the degree of the surface patches and their boundaries. We also present an algorithm with improved
running time for the case of triangles which is, however, more complicated than the first algorithm.
Mark de Berg was supported by the Dutch Organization for Scientific Research (N.W.O.), and by ESPRIT Basic Research Action
No. 7141 (project ALCOM II:Algorithms and Complexity). Leonidas Guibas was supported by NSF Grant CCR-9215219, by a grant from the Stanford SIMA Consortium, by NSF/ARPA Grant
IRI-9306544, and by grants from the Digital Equipment, Mitsubishi, and Toshiba Corporations. Dan Halperin was supported by
a Rothschild Postdoctoral Fellowship, by a grant from the Stanford Integrated Manufacturing Association (SIMA), by NSF/ARPA
Grant IRI-9306544, and by NSF Grant CCR-9215219. A preliminary version of this paper appeared inProc. 10th ACM Symposium on Computational Geometry, 1994, pp. 1–10. |
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Keywords: | |
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