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Abstract
With the rapid development of multimedia technology and Internet technology, Virtual Reality (VR) and Augmented Reality (AR) are becoming more and more mature as the typical cutting-edge three-dimensional video technology. However, the visual comfort of three-dimensional image has gradually become an important factor related to the visual safety and physiological health of viewers. Aiming at the color difference of left and right eye views in VR/AR stereoscopic video, quantitative experiments through subjective assessment were conducted to study the influence of Hue, Saturation and Brightness (HSB) on visual comfort in binocular stereoscopic video, and VR/AR comfort relationship models based on HSB was established. The universality of the models was further verified through experiments, and the results showed that the matching accuracy rate between the subjective evaluation results and the VR/AR comfort relationship models reached more than 80%, that is, the model had a high consistency with the subjective evaluation results, which will provide a reference for the evaluation of VR/AR stereo video visual comfort.
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Acknowledgements
This work was supported by the Grant National Natural Science Foundation of China (Grant No. 61703407) and the National Natural Science Foundation of China (Grant No. 61901505).
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Unmanned Systems Research Center, National Innovation Institute of Defense Technology, Academy of Military Sciences China, Beijing, China
Xiaoli Fan, Ye Yan, Erwei Yin, Mengjin Cai, Liang Xie & Ningci Wang
Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin, China
Xiaoli Fan, Erwei Yin, Mengjin Cai, Liang Xie & Ningci Wang
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Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA
Tareq Z. Ahram
Doctorate Researcher in Design, Recife-PE, Brazil
Christianne S. Falcão
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Fan, X., Yan, Y., Yin, E., Cai, M., Xie, L., Wang, N. (2021). Evaluation of VR/AR Visual Comfort Based on Color Perception. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_14
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