VR 2017

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

Desktop Layout

Poster Session A
Posters
Ballroom A/B
RIDE: Region-Induced Data Enhancement Method for Dynamic Calibration of Optical See-Through Head-Mounted Displays
Zhenliang Zhang, Dongdong Weng, Yue Liu, Yongtian Wang, and Xinjun Zhao
(Beijing Institute of Technology, China; 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.

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Time stamp: 2019-04-23T16:25:41+02:00