Easy calibration of a head-mounted projective display for augmented reality systems

Abstract

Augmented reality (AR) superimposes computer-generated virtual images on the real world to allow users exploring both virtual and real worlds simultaneously. For a successful augmented reality application, an accurate registration of a virtual object with its physical counterpart has to be achieved, which requires precise knowledge of the projection information of the viewing device. The paper proposes a fast and easy off-line calibration strategy based on well-established camera calibration methods. Our method does not need exhausting effort on the collection of world-to-image correspondence data. All the correspondence data are sampled with an image based method and they are able to achieve sub-pixel accuracy. The method is applicable for all AR systems based on optical see-through head-mounted display (HMD), though we took a head-mounted projective display (HMPD) as the example. We first review the calibration requirements for an augmented reality system and the existing calibration methods. Then a new view projection model for optical see through HMD is addressed in detail, and proposed calibration method and experimental result are presented. Finally, the evaluation experiments and error analysis are also included. The evaluation results show that our calibration method is fairly accurate and consistent.