Users can just watch computer graphic 3D animations or movie produced by a particular camera setting. However, the problem of 3D content generation still lingers. Combining the depth map from this work and the original 2D video, a vivid 3D video is produced.ģD video signal processing has become a hot development trend with large potential in visual processing areas. Foreground segmentation was replaced by the relative velocity estimation based on the motion estimation and motion compensation. Moreover, we proposed another conversion method for the dynamic background video sequence. ![]() According to the separated foreground and background results from foreground segmentation algorithm, the viewer can use their acquired visual experience to initiate this operation with some depth information of background. For the static background video sequence, we proposed a method which combined the foreground segmentation with vanishing line technology. We present two semi-automatic depth map extraction methods for stereo video conversion. ![]() ![]() ![]() In this paper, a low-cost and high efficiency post processing method is presented to enjoy the vivid 3D video. Due to the demand of 3D visualization and lack of 3D video content, a method converting the 2D to 3D video plays an important role.
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