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Research Article | Open Access

Augmented reality system to assist inexperienced pool players

LARSyS and Institute of Engineering, University of the Algarve, 8005-139 Faro, Portugal.
LARSyS, CIAC and Institute of Engineering, University of the Algarve, 8005-139 Faro, Portugal.
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Abstract

Pool and billiards are amongst a family of games played on a table with six pockets along the rails. This paper presents an augmented reality tool designed to assist unskilled or amateur players of such games. The system is based on a projector and a Kinect 2 sensor placed above the table, acquiring and processing the game on-the-fly. By using depth information and detecting the table’s rails (borders), the balls’ positions, the cue direction, and the strike of the ball, computations predict the resulting balls’ trajectories after the shot is played. These results—trajectories, visual effects, and menus—are visually output by the projector, making them visible on the snooker table. The system achieves a shot prediction accuracy of 98% when no bouncing occurs.

Keywords

computer visionaugmented reality (AR)Kinectpool game

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Computational Visual Media
Volume 2 Issue 2,
June 2016
Pages 183-193
DOI: 10.1007/s41095-016-0047-3
Cite this article:
Sousa L, Alves R, Rodrigues JMF. Augmented reality system to assist inexperienced pool players. Computational Visual Media, 2016, 2(2): 183-193. https://doi.org/10.1007/s41095-016-0047-3

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Revised: 24 December 2015
Accepted: 25 February 2016
Published: 26 April 2016
© The Author(s) 2016

This article is published with open access at Springerlink.com

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