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Three-dimensional alpha shapes

ACM Transactions on Graphics · 1994 · Vol. 13(1) · pp. 43–72
Herbert EdelsbrunnerErnst P. Mücke

Abstract

Frequently, data in scientific computing is in its abstract form a finite point set in space, and it is sometimes useful or required to compute what one might call the “shape” of the set. For that purpose, this article introduces the formal notion of the family of α-shapes of a finite point set in R 3 . Each shape is a well-defined polytope, derived from the Delaunay triangulation of the point set, with a parameter α ε R controlling the desired level of detail. An algorithm is presented that constructs the entire family of shapes for a given set of size n in time 0(n 2 ) , worst case. A robust implementation of the algorithm is discussed, and several applications in the area of scientific computing are mentioned.

Computational Geometry and Mesh Generation3D Shape Modeling and AnalysisRemote Sensing and LiDAR ApplicationsDelaunay triangulationTriangulationSet (abstract data type)PolytopePoint (geometry)Bowyer–Watson algorithmConstrained Delaunay triangulationAlpha (finance)Computer scienceAlgorithm

Funding

  • National Science Foundation
  • National Centre for Supercomputing Applications
  • University of Illinois at Urbana-Champaign
Citations
2,409
FWCI
21.04
field-weighted impact
References
45
Percentile
100%
vs. same field & year
Citations per year
References
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Mathematics of Computation · 1986 · 4,264 citations
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American Mathematical Monthly · 1989 · 1,801 citations
The relative neighbourhood graph of a finite planar set
Pattern Recognition · 1980 · 996 citations
On the shape of a set of points in the plane
IEEE Transactions on Information Theory · 1983 · 1,800 citations
Introduction to Algorithms
Journal of the Operational Research Society · 1991 · 16,946 citations
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