A Parallel Plane Sweep Algorithm Using OpenMP

A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins

The interval join is a basic operation that finds application in temporal, spatial, and uncertain databases. Although a number of centralized and distributed algorithms have been proposed for the efficient evaluation of interval joins, classic plane sweep approaches have not been considered at their full potential. A recent piece of related work proposes an optimized approach based on plane swe...

WPSR: Word Plane Sweep Replicated, Present a Plane sweep Algorithm to optimize the use of Replicated data in a document

This paper describes the plane sweep algorithm for optimal use of tandem replicated data in a document. It is based on an observation that the original plane sweep algorithm is used to search in documents. Plane sweep algorithm does not feature a fast algorithm to find the word that is repeated in tandem in a document. With the help of effective parameters we could make a new technique to creat...

Seamless Stitching using Multi-Perspective Plane Sweep

A Parallel Sweep Line Algorithm for Visibility Computation

This paper describes a new parallel raster terrain visibility (or viewshed) algorithm, based on the sweep-line model of [Van Kreveld 1996]. Computing the terrain visible from a given observer is required for many GIS applications, with applications ranging from radio tower siting to aesthetics. Processing the newly available higher resolution terrain data requires faster architectures and algor...

Plane-Sweep Incremental Algorithm: Computing Delaunay Tessellations of Large Datasets

We present the plane-sweep incremental algorithm, a hybrid approach for computing Delaunay tessellations of large point sets whose size exceeds the computer’s main memory. This approach unites the simplicity of the incremental algorithms with the comparatively low memory requirements of plane-sweep approaches. The procedure is to first sort the point set along the first principal component and ...