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Theoretical analysis of the physiologic mechanism for visual comfort in 3D virtual reality

When viewing 3D virtual reality (VR) images, visual comfort is accumulated in the brain along the temporal domain as a function of binocular disparity. Prediction of visual comfort for a 3D VR image should be performed differently than in conventional quality assessment for images on flat display. In this paper, we investigate a unique temporal visual comfort model (TVCM) for temporal prediction of 3D VR images while tracing the human perception process of visual comfort based on the physiologic mechanism. With regard to the neural pathway of eye movements and brain activity, the TVCM is defined as a first-order system composed of the eyes, brain and the related optic nerves. The experimental results demonstrate that the transfer function of the TVCM highly correlates (over 85%) with subjective visual comfort scores compared with conventional objective snapshot-based algorithms. Through the transfer function analysis of the TVCM, we predict the effort exerted by the human visual system for stability and perception of 3D VR images.