By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chunyu Gao ; Beckman Inst., Illinois Univ., Urbana, IL, USA ; Hong Hua ; Ahuja, N.

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.

Published in:

Virtual Reality, 2003. Proceedings. IEEE

Date of Conference:

22-26 March 2003