Visual discomfort visualizer using stereo vision and time-of-flight depth cameras


Visual discomfort monitoring is a crucial technique for comfortable viewing of stereoscopic pictures. This paper proposes a completely unique monitoring system of visual discomfort that takes advantages of a fusion camera system equipped with stereo vision cameras and a time-of-flight camera. We tend to improve disparity map enhancement technique to get a high-quality disparity map that is aligned to the correct read color image coordinate. The captured stereo-plusdisparity pictures are used for visual discomfort visualizer that automatically predicts overall degree of perceived visual discomfort and visualizes that regions are problematic in terms of visual discomfort. The proposed visual discomfort visualizer relies on visual importance of image scenes, resulting in considerable improvement in prediction performance of visual discomfort. The experimental results showed that the proposed system might generate enhanced disparity maps and achieve visual discomfort prediction accuracy that's feasible for sensible applications.

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