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Title: Region-based approximation of probability distributions (for visibility between imprecise points among obstacles)
Author: Buchin, Kevin
Kostitsyna, Irina
Loffler, Maarten
Silveira, Rodrigo
Issue Date: 2014
Abstract: Let p and q be two imprecise points, given as probability density functions on R 2, and let R be a set of n line segments in R 2 . We study the problem of approximating the probability that p and q can see each other; that is, that the segment connecting p and q does not cross any segment of R. To solve this problem, we approximate each density function by a weighted set of polygons; a novel approach to dealing with probability density functions in computational geometry.
Peer review: yes
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Appears in Collections:CIDMA - Comunicações
OGTCG - Comunicações

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