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Proceedings Paper

Possibility of vergence disagreement reducing on the base of approximate restoration of the depth map
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Paper Abstract

The article describes the approach that allows to reconstruct the image formed by the video see-through mixed reality system corresponding to the convergence of the device user eyes. Convergence is defined by the user eye pupils position acquired from the mixed reality device eye tracking system. The image reconstruction method is based on the use of an extended (2.5-dimensional) representation of the image obtained, for example, using a 3D scanner that builds a depth map of the scene. In the proposed solution, lens optical systems that form images of the real world on LCD screens and eyepieces that project these images into the user eyes do not change their characteristics and position. The image is reconstructed by projecting the points of the original image to the image points corresponding to the required convergence by the method of "refocusing" at a distance for each point. The advantages and disadvantages of this method are shown. An approach is proposed that reduces visual perception discomfort caused by an ambiguous distance to the image point, for example, in the case of mirror or transparent objects. Virtual prototyping of the mixed reality system showed the benefits of the proposed approach to reduce the visual perception discomfort caused by the mismatch between the convergence of human eyes and the images formed by the lenses of the mixed reality system.

Paper Details

Date Published: 19 November 2019
PDF: 14 pages
Proc. SPIE 11185, Optical Design and Testing IX, 1118517 (19 November 2019); doi: 10.1117/12.2537753
Show Author Affiliations
Andrey Zhdanov, ITMO Univ. (Russian Federation)
Dmitry Zhdanov, ITMO Univ. (Russian Federation)
Igor Potemin, ITMO Univ. (Russian Federation)
Nikolay Bogdanov, ITMO Univ. (Russian Federation)
Sergei Bykovskii, ITMO Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 11185:
Optical Design and Testing IX
Yongtian Wang; Pablo Benítez; Osamu Matoba, Editor(s)

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