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.


slides
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
http://dx.doi.org/10.1016/j.jda.2008.04.002

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
http://dx.doi.org/10.1007/978-3-540-77918-6_8
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
http://www.cs.uu.nl/research/techreps/UU-CS-2007-038.html

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