IEEE Transactions on Pattern Analysis and Machine Intelligence · 1988 · 129 citations · 11 references
ComputingComputer ScienceAlgorithmsComputational GeometryGeometryAlgorithm AnalysisComputational ComplexityConvex GeometryConvex HullsSpace ComplexityTime ComplexityConvex Hull AlgorithmsConvex Hull ComplexityConvex Hull Of PolygonsConvex PolyhedraIntersections Of Parallel PlanesMinimum DistanceMinimum Distance BoundsPolynomial Time Complexity
For a set of points P in three-dimensional space, the width of P, W (P), is defined as the minimum distance between parallel planes of support of P. It is shown that W(P) can be computed in O(n log n+I) time and O(n) space, where I is the number of antipodal pairs of edges of the convex hull of P, and n is the number of vertices; in the worst case, I=O(n/sup 2/). For a convex polyhedra the time complexity becomes O(n+I). If P is a set of points in the plane, the complexity can be reduced to O(nlog n). For simple polygons, linear time suffices.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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T. Pavlidis, Steven L. Horowitz · IEEE Transactions on Computers · 1974 · 543 citations
Solving geometric problems with the rotating calipers
Godfried T. Toussaint · 1983 · 508 citations
The Ultimate Planar Convex Hull Algorithm?
David Kirkpatrick, Raimund Seidel · SIAM Journal on Computing · 1986 · 385 citations