A SWEEPLINE ALGORITHM FOR VORONOI DIAGRAMS PDF

Fortune’s algorithm is a sweep line algorithm for generating a Voronoi diagram from a set of points in a plane using O(n log n) time and O(n) space. A sweepline algorithm for Voronoi Diagrams. 1. A sweepline algorithm for Voronoi Diagrams Steven Fortune Algorithmica, By: Himanshi. Computing Voronoi Diagrams: There are a number of algorithms for computing Voronoi Behind the sweep line you have constructed the Voronoi diagram.

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Fortune’s algorithm – Wikipedia

As there are O n events to process each being associated with some feature of the Voronoi diagram and O log n time to process an event each consisting of a constant number of binary search tree and priority queue operations the total tor is O n log n.

From Wikipedia, the free encyclopedia. As Fortune describes in ref. Pseudocode description of the algorithm. Views Read Edit View history.

Fortune’s algorithm

Retrieved from ” https: Computing the Voronoi Diagram: The beach line progresses by keeping each parabola base exactly half way between the points initially swept over with the sweep line, and the new position of the sweep line. This page was last edited on 27 Decemberat In an additively weighted Voronoi diagram, the bisector between sites is in general a voronol, in contrast to unweighted Voronoi diagrams and power diagrams of disks for which it is a straight line.

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Articles with example pseudocode. At any time diagramw the algorithm, the input points left of the sweep line will have been incorporated into the Voronoi diagram, while the points right of the sweep line will not have been considered yet.

By using this site, you agree to the Terms of Use and Privacy Policy. A sweepline algorithm for Voronoi diagrams. The algorithm maintains as data structures a binary search tree describing the combinatorial structure of the beach line, and a priority queue listing potential future events that could change the beach line structure. Algprithm the sweep line progresses, the vertices of the beach line, at which two parabolas cross, trace out the edges of the Voronoi diagram.

For each point left of the sweep line, one can define a parabola of points equidistant from that point and from the sweep line; the beach line is the boundary of the union of these parabolas.

These events include the addition of another parabola to the beach line when the sweep line crosses another input point and the removal of a curve from the beach line when the sweep line becomes tangent to a circle algorighm some three input points whose parabolas form consecutive segments of the beach line.

Each such event may be prioritized by the x -coordinate of the sweep line at the point the event occurs.

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The sweep line is a straight line, which fo may by convention assume to be vertical and moving left to right across the plane. The beach line is not a straight voroni, but a complicated, piecewise curve to the left of the sweep line, composed of pieces of parabolas ; it divides the portion of the plane within which the Voronoi diagram can be known, regardless of what other points might be right of the sweep line, from the rest of the plane.

The algorithm itself then consists of repeatedly removing the next event from the priority algorithmm, finding the changes the event causes in the beach line, and updating the data structures. The algorithm maintains both a sweep line and a beach linewhich both move through the plane as the algorithm progresses.

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Mathematically, this means each parabola is formed by using the sweep line siagrams the directrix and the input point as the focus. Proceedings of the second annual symposium on Computational geometry.

Weighted sites may be used to control the areas of the Voronoi cells when using Voronoi diagrams to construct treemaps.