DocumentCode :
613201
Title :
A robust camera-based method for optical distortion calibration of head-mounted displays
Author :
Sangyoon Lee ; Hone Hua
fYear :
2013
fDate :
18-20 March 2013
Firstpage :
27
Lastpage :
30
Abstract :
One of the problems in using head-mounted displays (HMDs) is that the virtual images shown through the HMDs are usually distorted due to their optical distortions. In order to correctly compensate the optical distortions through a pre distortion technique, accurate values of the distortion parameters are required. Although several distortion calibration methods have been developed in prior work, these methods suffer a few critical limitations. In this paper, we proposed a method for robustly estimating the optical distortion parameters of both immersive and (optical) see-through HMDs, without the limitations of existing methods. The proposed method is based on photogrammetry and considers not only the radial distortion but also the tangential distortion. Its effectiveness was evaluated through an experiment conducted with two different types of HMDs, an optical see-through head-mounted projection display and a commercially available non-see-through HMD. According to the experimental results, the proposed method showed significantly lower reprojection error than a previous method proposed by Owen et al. In addition, when both the radial and tangential distortions were considered, the proposed method was significantly more effective than when only the radial distortion was considered.
Keywords :
calibration; helmet mounted displays; head-mounted display; immersive HMD; optical distortion calibration; optical see-through HMD; photogrammetry; predistortion technique; radial distortion; robust camera-based method; tangential distortion; virtual image; Calibration; Cameras; Lenses; Mathematical model; Nonlinear distortion; Optical distortion; Optical imaging; Head-mounted display; display calibration; optical distortion; photogrammetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality (VR), 2013 IEEE
Conference_Location :
Lake Buena Vista, FL
ISSN :
1087-8270
Print_ISBN :
978-1-4673-4795-2
Type :
conf
DOI :
10.1109/VR.2013.6549353
Filename :
6549353
Link To Document :
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