publication . Preprint . Article . 2018

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

Jens Grubert; Yuta Itoh; Kenneth Moser; J. Edward Swan;
Open Access English
  • Published: 01 Sep 2018
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 prope...
Subjects
free text keywords: Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition
Related Organizations
Funded by
NSF| HCC: Small: Depth Perception in Near- and Medium-Field Augmented Reality
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1018413
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Information and Intelligent Systems
,
EC| EDUSAFE
Project
EDUSAFE
Education in advanced VR/AR Safety Systems for Maintenance in Extreme Environments
  • Funder: European Commission (EC)
  • Project Code: 316919
  • Funding stream: FP7 | SP3 | PEOPLE
,
NSF| HCC: Small: Effective Augmented Reality Depth Representation Methods and Accuracy Evaluations Inspired by Medical Applications
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1320909
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Information and Intelligent Systems
83 references, page 1 of 6

[1] Y. Abdel-Aziz, “Direct linear transformation from comparator coordinates in close-range photogrammetry,” in ASP Symposium on Close-Range Photogrammetry in Illinois, 1971.

[2] M. Axholt, “Pinhole camera calibration in the presence of human noise,” Ph.D. dissertation, Linko¨ ping University Institute of Technology, 2011. [OpenAIRE]

[3] M. Axholt, S. Peterson, and S. R. Ellis, “User boresight calibration precision for large-format head-up displays,” in ACM Symp. on Virtual Reality Software and Technology (VRST). New York, NY, USA: ACM, Oct. 2008, pp. 141-148. [OpenAIRE]

[4] M. Axholt, M. Skoglund, S. D. Peterson, M. D. Cooper, T. B. Sch o¨n, F. Gustafsson, A. Ynnerman, and S. R. Ellis, “Optical see-through head mounted display direct linear transformation calibration robustness in the presence of user alignment noise,” in Human Factors and Ergonomics Society Annual Meeting (HFES), vol. 54, no. 28. SAGE Publications, 2010, pp. 2427-2431.

[5] M. Axholt, M. A. Skoglund, S. D. O'Connell, M. D. Cooper, S. R. Ellis, and A. Ynnerman, “Parameter estimation variance of the single point active alignment method in optical see-through head mounted display calibration,” in IEEE Virtual Reality (VR). Piscataway, NJ, USA: IEEE, 2011, pp. 27-34.

[6] E. Azimi, L. Qian, P. Kazanzides, and N. Navab, “Robust optical see-through head-mounted display calibration: Taking anisotropic nature of user interaction errors into account,” in 2017 IEEE Virtual Reality (VR), March 2017, pp. 219-220.

[7] R. Azuma and G. Bishop, “Improving static and dynamic registration in an optical see-through hmd,” in Annual Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH). ACM, 1994, pp. 197-204.

[8] M. Billinghurst, A. Clark, and G. Lee, “A Survey of Augmented Reality,” Foundations and Trends in Human-Computer Interaction, vol. 8, pp. 73-272, 2014.

[9] T. P. Caudell and D. W. Mizell, “Augmented reality: An application of heads-up display technology to manual manufacturing processes,” in Hawaii Inter. Conf. on System Sciences, vol. 2. IEEE, 1992, pp. 659-669. [OpenAIRE]

[10] D. Dunn, C. Tippets, K. Torell, P. Kellnhofer, K. Aks¸it, P. Didyk, K. Myszkowski, D. Luebke, and H. Fuchs, “Wide field of view varifocal near-eye display using see-through deformable membrane mirrors,” IEEE Trans. on Visualization and Computer Graphics, vol. 23, no. 4, pp. 1322-1331, 2017.

[11] P. J. Edwards, A. P. King, C. R. Maurer, D. a. de Cunha, D. J. Hawkes, D. L. Hill, R. P. Gaston, M. R. Fenlon, a. Jusczyzck, A. J. Strong, C. L. Chandler, and M. J. Gleeson, “Design and evaluation of a system for microscope-assisted guided interventions (MAGI).” IEEE Trans. on Medical Imaging, vol. 19, no. 11, pp. 1082- 1093, 2000.

[12] O. Faugeras, Three-dimensional computer vision: a geometric viewpoint. MIT Press, 1993.

[13] M. Figl, C. Ede, J. Hummel, F. Wanschitz, R. Ewers, H. Bergmann, and W. Birkfellner, “A fully automated calibration method for an optical see-through head-mounted operating microscope with variable zoom and focus,” IEEE Trans. on Medical Imaging, vol. 24, no. 11, pp. 1492-1499, 2005. [OpenAIRE]

[14] A. Fuhrmann, D. Schmalstieg, and W. Purgathofer, “Fast calibration for augmented reality,” in ACM Symp. on Virtual Reality Software and Technology (VRST). ACM, 1999, pp. 166-167.

[15] C. Gao, H. Hua, and N. Ahuja, “Easy calibration of a headmounted projective display for augmented reality systems,” in IEEE Virtual Reality (VR). IEEE, 2003, pp. 53-60.

83 references, page 1 of 6
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