A Survey of Calibration Methods for Optical See-Through Head-Mounted Displays

September 13, 2017 ยท The Cartographer ยท ๐Ÿ› IEEE Transactions on Visualization and Computer Graphics

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey of Calibration Methods for Optical See-Through Head-Mounted Displays"

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Authors Jens Grubert, Yuta Itoh, Kenneth Moser, J. Edward Swan arXiv ID 1709.04299 Category cs.HC: Human-Computer Interaction Cross-listed cs.CV Citations 88 Venue IEEE Transactions on Visualization and Computer Graphics Last Checked 8 days ago
Abstract
Optical see-through head-mounted displays (OST HMDs) are a major output medium for Augmented Reality, which have seen significant growth in popularity and usage among the general public due to the growing release of consumer-oriented models, such as the Microsoft Hololens. Unlike Virtual Reality headsets, OST HMDs inherently support the addition of computer-generated graphics directly into the light path between a user's eyes and their view of the physical world. As with most Augmented and Virtual Reality systems, the physical position of an OST HMD is typically determined by an external or embedded 6-Degree-of-Freedom tracking system. However, in order to properly render virtual objects, which are perceived as spatially aligned with the physical environment, it is also necessary to accurately measure the position of the user's eyes within the tracking system's coordinate frame. For over 20 years, researchers have proposed various calibration methods to determine this needed eye position. However, to date, there has not been a comprehensive overview of these procedures and their requirements. Hence, this paper surveys the field of calibration methods for OST HMDs. Specifically, it provides insights into the fundamentals of calibration techniques, and presents an overview of both manual and automatic approaches, as well as evaluation methods and metrics. Finally, it also identifies opportunities for future research. % relative to the tracking coordinate system, and, hence, its position in 3D space.
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