Polygon Queries for Convex Hulls of Points

10/19/2019
by   Eunjin Oh, et al.
0

We study the following range searching problem: Preprocess a set P of n points in the plane with respect to a set O of k orientations for a constant, in the plane so that given an O-oriented convex polygon Q, the convex hull of P∩ Q can be computed efficiently, where an O-oriented polygon is a polygon whose edges have orientations in O. We present a data structure with O(nk^3log^2n) space and O(nk^3log^2n) construction time, and an O(h+slog^2 n)-time query algorithm for any query O-oriented convex s-gon Q, where h is the complexity of the convex hull. Also, we can compute the perimeter or area of the convex hull of P∩ Q in O(slog^2n) time using the data structure.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro