Technical Report MSC-2013-09

TR#:MSC-2013-09
Class:MSC
Title: Geometric Covering
Authors: Nadav Shragai
Supervisors: Gershon Elber
PDFMSC-2013-09.pdf
Abstract: Covering questions emerge in many disciplines and are closely related to the well known set-cover problem in computer science. Similarly, geometric covering is of great importance and yet has only been investigated in seemingly unrelated speci c disciplines. Examples include the well known art-gallery problem, mold-design problems, inspection, security and surveillance problems. In this thesis, we present a single uni ed framework that can solve many of the above geometric covering queries. The suggested framework reduces a geometric covering query to the classic computer science set-covering problem, producing a solution of exponential time complexity due to the inherent time complexity of the classic set-covering problem, which is NP-hard. The geometric covering problem (GCP) will be shown to be an NP-hard problem as well. In practice, we are able to eciently o er almost optimal solutions for small scale geometric covering problems of several covering entities. Most known algorithms related to geometric covering involve algorithms which often require complex visibility/accessibility analyses of the geometry of the object to be covered in the Euclidean space. The suggested framework reduces the covering analysis to the pixel level and solves the set-covering in the parametric domain of the object, yielding a simple and general framework that, we believe, can be made highly robust. Finally, using the portrayed framework, we demonstrate our implementation with results on mold-design in manufacturing and security.

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