Ego-Motion Alignment from Face Detections for Collaborative Augmented Reality

Understand

Sharing virtual content among multiple smart glasses wearers is an essential feature of a seamless Collaborative Augmented Reality experience.

• To enable the sharing, local coordinate systems of the underlying 6D ego-pose trackers, running independently on each set of glasses, have to be spatially and temporally aligned with respect to each other.
• In this paper, we propose a novel lightweight solution for this problem, which is referred as ego-motion alignment.
• We show that detecting each other's face or glasses together with tracker ego-poses sufficiently conditions the problem to spatially relate local coordinate systems.