Analysis of the vergence correction method in video see-through mixed reality systems

Andrey Zhdanov; Yan Wang; Dmitry Zhdanov; Igor S. Potemin

doi:10.1117/12.2548195

18 December 2019 Analysis of the vergence correction method in video see-through mixed reality systems

Andrey Zhdanov, Yan Wang, Dmitry Zhdanov, Igor S. Potemin

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 113383Q (2019) https://doi.org/10.1117/12.2548195
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

The paper is devoted to the problem of correct vergence in the mixed reality systems. There are two main types of mixed reality devices, these are optical see-through and video see-through mixed reality systems. They differ by the way how the device user observes the real-world environment: in the optical see-through mixed reality systems the real world is observed directly and as result the vergence and accommodation conflicts are absent while in the video see-through mixed reality systems there present both vergence and accommodation conflicts. The vergence conflict is caused by the fixed orientation of the device cameras that transmit the image of the real world, and the accommodation conflict is caused by the constancy of the focal length of optical systems that form the images of the real world on the human eye retina from the CCD matrices. This paper presents the research of the possibility to restore the correct convergence of a real-world image formed by video see-through mixed reality systems. The research shows how convergence can be correctly reconstructed using images captured by fixed cameras with parallel axes located at the front side of the mixed reality headset that form images for the left and right eyes. The resulting reconstructed images are almost free from any visual artifacts. Additionally, authors show how errors in scene depth map reconstruction affects the vergence restoration quality.

Citation Download Citation

Andrey Zhdanov, Yan Wang, Dmitry Zhdanov, and Igor S. Potemin "Analysis of the vergence correction method in video see-through mixed reality systems", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113383Q (18 December 2019); https://doi.org/10.1117/12.2548195

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