VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Poster Session B
Posters
Ballroom A/B
Prioritization and Static Error Compensation for Multi-camera Collaborative Tracking in Augmented Reality
Jianren Wang, Long Qian, Ehsan Azimi, and Peter Kazanzides
(Shanghai Jiao Tong University, China; Johns Hopkins University, USA)
Abstract: An effective and simple method is proposed for multi-camera collaborative tracking, based on the prioritization of all tracking units, and then modeling the discrepancy between different tracking units as a locally static transformation error. Static error compensation is applied to the lower-priority tracking systems when high-priority trackers are not available. The method does not require high-end or carefully calibrated tracking units, and is able to effectively provide a comfortable augmented reality experience for users. A pilot study demonstrates the validity of the proposed method.

Authors:


Time stamp: 2019-03-24T01:29:57+01:00