Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System
Qian Zhou, Gregor Miller, Kai Wu, Ian Stavness and Sidney Fels
Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System We describe the design, implementation and detailed visual error analysis of a 3D perspective-corrected spherical display that uses calibrated, multiple rear projected pico-projectors. The display system is calibrated via 3D reconstruction using a single inexpensive camera, which enables both view-independent and view-dependent applications, also known as, Fish Tank Virtual Reality (FTVR). We perform error analysis of the system in terms of display calibration error and head-tracking error using a mathematical model. We found: head tracking error causes significantly more eye angular error than display calibration error; angular error becomes more sensitive to tracking error when the viewer moves closer to the sphere; and angular error is sensitive to the distance between the virtual object and its corresponding pixel on the surface. Taken together, these results provide practical guidelines for building a spherical FTVR display and can be applied to other configurations of geometric displays.

Presented at the Asian Conference on Computer Vision in Taipei, November 2016.

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Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System
BibTeX
@InProceedings{Zhou:ACCV2016,
    author = {Qian Zhou and Gregor Miller and Kai Wu and Ian Stavness and Sidney Fels},
    title = {Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System},
    booktitle = {Proceedings of the Asian Conference on Computer Vision},
    series = {ACCV'16, LNCS},
    pages = {},
    month = {November},
    year = {2016},
    publisher = {Springer},
    address = {Berlin / Heidelberg, Germany},
    isbn = {},
    location = {Taipei, Taiwan},
    doi = {},
    url = {http://www.openvl.org.uk/Publications/Publication.php?id=Zhou:ACCV2016}
}