Visual fatigue modeling for stereoscopic video shot based on camera motion
2014
As three–dimensional television (3-DTV) and 3-D movie become popular, the discomfort of visual feeling limits
further applications of 3D display technology. The cause of visual discomfort from stereoscopic video conflicts between
accommodation and convergence, excessive binocular parallax, fast motion of objects and so on. Here, a novel method
for evaluating visual fatigue is demonstrated. Influence factors including spatial structure, motion scale and comfortable
zone are analyzed. According to the human visual system (HVS), people only need to converge their eyes to the specific
objects for static cameras and background. Relative motion should be considered for different camera conditions
determining different factor coefficients and weights. Compared with the traditional visual fatigue prediction model, a
novel visual fatigue predicting model is presented. Visual fatigue degree is predicted using multiple linear regression
method combining with the subjective evaluation. Consequently, each factor can reflect the characteristics of the scene,
and the total visual fatigue score can be indicated according to the proposed algorithm. Compared with conventional
algorithms which ignored the status of the camera, our approach exhibits reliable performance in terms of correlation
with subjective test results.
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