AR-Weapon: Live Augmented Reality Based First-Person Shooting System

Zhiwei Zhu, Vlad Branzoi, Mikhail Sizintsev, Nicholas Vitovitch, Taragay Oskiper, Ryan Villamil, Ali Chaudhry, Supun Samarasekera, Rakesh Kumar
2015 2015 IEEE Winter Conference on Applications of Computer Vision  
This paper introduces a user-worn Augmented Reality (AR) based first-person weapon shooting system (AR-Weapon), suitable for both training and gaming. Different from existing AR-based first-person shooting systems, AR-Weapon does not use fiducial markers placed in the scene for tracking. Instead it uses natural scene features observed by the tracking camera from the live view of the world. The AR-Weapon system estimates 6-degrees of freedom orientation and location of the weapon and of the user
more » ... operating it, thus allowing the weapon to fire simulated projectiles for both direct fire and non-line of sight during live runs. In addition, stereo cameras are used to compute depth and provide dynamic occlusion reasoning. Using the 6-DOF head and weapon tracking, dynamic occlusion reasoning and a terrain model of the environment, the fully virtual projectiles and synthetic avatars are displayed on the user's head mounted Optical-See-Through (OST) display overlaid over the live view of the real world. Since the projectiles, weapon characteristics and virtual enemy combatants are all simulated they can easily be changed to vary scenarios, new projectile types and future weapons. In this paper, we present the technical algorithms, system design and experiment results for a prototype AR-Weapon system.
doi:10.1109/wacv.2015.88 dblp:conf/wacv/ZhuBSVOVCS015 fatcat:yf7hb662qzbv5i6ypv3ngnv5sa