Robust Global Tracking Using a Seamless Structured Pattern of Dots Hasselt University
In this paper, we present a novel optical tracking approach to accurately estimate the pose of a camera in large scene augmented reality (AR). Traditionally, larger scenes are provided with multiple markers with their own identifier and coordinate system. However, when any part of a single marker is occluded, the marker cannot be identified. Our system uses a seamless structure of dots where the world position of each dot is represented by its ...