Visual fatigue measurement model based on multi-area variance in a stereoscopy

In this paper, we propose a visual fatigue measurement model which based on multi-area variance. Existing visual fatigue measurement model focused at negative area which largely occurred visual fatigue. To make up for previous research, our method uses characteristic of depth-map image that can consider negative area and positive area. Then, we calculate variance ratio and average ratio that located at maximum variance area and minimum variance area in a depth-map image. We obtained correlation index of 87.3% from experimental results which is between Variance based on Visual Fatigue (VVF) model and Mean Opinion Score (MOS).