Approximating Largest Convex Hulls for Imprecise Points
Assume that a set of imprecise points in the plane is given, where each point is specified by a region in which the point will lie. Such a region can be modelled as a circle, square, line segment, etc. We study the problem of maximising the area of the convex hull of such a set. We prove NP-hardness when the imprecise points are modelled as line segments, and give linear time approximation schemes for a variety of models, based on the core-set paradigm.
keywords: Approximation, Computational Geometry, Convex Hulls, Data Imprecision
Journal Article (peer-reviewed)
Maarten Löffler, Marc van Kreveld
Approximating Largest Convex Hulls for Imprecise Points
Journal of Discrete Algorithms
6, 4, 583–594, 2008
Conference Proceedings (peer-reviewed)
Maarten Löffler, Marc van Kreveld
Approximating Largest Convex Hulls for Imprecise Points
Proc. 5th Workshop on Approximation and Online Algorithms
LNCS 4927, 89–102, 2008
Invited to Special Issue of TCS
Technical Report (not reviewed)
Maarten Löffler, Marc van Kreveld
Approximating Largest Convex Hulls for Imprecise Points
UU-CS-2007-038, 2007
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