Largest and Smallest Convex Hulls for Imprecise Points
Assume that a set of imprecise points is given, where each point is specified by a region in which the point may lie. We study the problem of computing the smallest and largest possible convex hulls, measured by length and by area. Generally we assume the imprecision region to be a square, but we discuss the case where it is a segment or circle as well. We give polynomial time algorithms for several variants of this problem, ranging in running time from O(nlogn) to O(n13), and prove NP-hardness for some other variants.
keywords: Computational Geometry, Convex Hulls, Data Imprecision
Journal Article (peer-reviewed)
Maarten Löffler, Marc van Kreveld
Largest and Smallest Convex Hulls for Imprecise Points
Algorithmica
56, 2, 235–269, 2010
Conference Proceedings (peer-reviewed)
Maarten Löffler, Marc van Kreveld
Largest and Smallest Tours and Convex Hulls for Imprecise Points
Proc. 10th Scandinavian Workshop on Algorithm Theory
LNCS 4059, 375–387, 2006
Workshop or Poster (weakly reviewed)
Maarten Löffler, Marc van Kreveld
Largest and Smallest Tours and Convex Hulls for Imprecise Points
Proc. 12th Conf. Advanced School for Computing and Imaging
333–340, 2006
Technical Report (not reviewed)
Maarten Löffler, Marc van Kreveld
Largest and Smallest Convex Hulls for Imprecise Points
UU-CS-2006-019, 2006
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