A New Projective Point in Convex Polygon Test with O(log N) Complexity*

This contribution describes a novel and fully projective algorithm for a point-in-convex polygon test with computational complexity of O(log N) in E<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The polygon vertices and tested points can be given in projective space, i.e., with the homogeneous coordinate w ≠ 0, without conversion to Euclidean space. It is independent of the polygon orientation. It uses vector-vector operations and is therefore aimed for implementation using SSE or AVX instructions. The algorithm is simple and robust, easy to implement.

Authors

Institutions

Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/informatics62280.2024.10900927
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New Projective Point in Convex Polygon Test with O(log N) Complexity*

Václav Skala
Computational Geometry and Mesh Generation
article

A New Projective Point in Convex Polygon Test with O(log N) Complexity*

Václav Skala
article en

Abstract

This contribution describes a novel and fully projective algorithm for a point-in-convex polygon test with computational complexity of O(log N) in E<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The polygon vertices and tested points can be given in projective space, i.e., with the homogeneous coordinate w ≠ 0, without conversion to Euclidean space. It is independent of the polygon orientation. It uses vector-vector operations and is therefore aimed for implementation using SSE or AVX instructions. The algorithm is simple and robust, easy to implement.

University of West Bohemia in Pilsen (CZ)
Openalex Percentile: Top 47%
Computational Geometry and Mesh Generation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.