Academy & Industry Research Collaboration Center (AIRCC)

Volume 10, Number 18, December 2020

New Algorithms for Computing Field of Vision over 2D Grids


Evan R.M. Debenham and Roberto Solis-Oba, The University of Western Ontario, Canada


The aim of this paper is to propose new algorithms for Field of Vision (FOV) computation which improve on existing work at high resolutions. FOV refers to the set of locations that are visible from a specific position in a scene of a computer game.

We summarize existing algorithms for FOV computation, describe their limitations, and present new algorithms which aim to address these limitations. We first present an algorithm which makes use of spatial data structures in a way which is new for FOV calculation. We then present a novel technique which updates a previously calculated FOV, rather than recalculating an FOV from scratch.

We compare our algorithms to existing FOV algorithms and show they provide substantial improvements to running time. Our algorithms provide the largest improvement over existing FOV algorithms at large grid sizes, thus allowing the possibility of the design of high resolution FOV-based video games.


Field of Vision (FOV), Computer Games, Visibility Determination, Algorithms.