For 3DTV systems, camera distortions, such as vertical misalignment, camera rotation, unsynchronized zooming, and color misalignment, are introduced during the process of video capturing using stereo cameras. They are important factors affecting the perceptual quality of 3D videos. This paper proposes a stereo camera distortion detecting method based on the statistical model. Experiment is set up on a database which consists of video clips from an on-air 3DTV channel. Subjective assessment is also performed to find out its relation with the experimental results of the proposed method.
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