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2017 IEEE Virtual Reality (VR) (2017)
Los Angeles, CA, USA
March 18, 2017 to March 22, 2017
ISSN: 2375-5334
ISBN: 978-1-5090-6648-3
pp: 245-246
Zhenliang Zhang , Beijing Institute of Technology, China
Dongdong Weng , Beijing Institute of Technology, China
Yue Liu , Beijing Institute of Technology, China
Yongtian Wang , Beijing Institute of Technology, China
Xinjun Zhao , Science and Technology on Complex Land Systems Simulation Laboratory, China
ABSTRACT
The most commonly used single point active alignment method (SPAAM) is based on a static pinhole camera model, in which it is assumed that both the eye and the HMD are fixed. This leads to a limitation for calibration precision. In this work, we propose a dynamic pinhole camera model according to the fact that the human eye would experience an obvious displacement over the whole calibration process. Based on such a camera model, we propose a new calibration data acquisition method called the region-induced data enhancement (RIDE) to revise the calibration data. The experimental results prove that the proposed dynamic model performs better than the traditional static model in actual calibration.
INDEX TERMS
Calibration, Cameras, Solid modeling, Standards, Adaptive optics, Three-dimensional displays, Virtual reality
CITATION

Z. Zhang, D. Weng, Y. Liu, Y. Wang and X. Zhao, "RIDE: Region-induced data enhancement method for dynamic calibration of optical see-through head-mounted displays," 2017 IEEE Virtual Reality (VR), Los Angeles, CA, USA, 2017, pp. 245-246.
doi:10.1109/VR.2017.7892268
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