Abstract
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. In this paper, a low-cost and high efficiency post processing method is presented to enjoy the vivid 3D video. We present two semi-automatic depth map extraction methods for stereo video conversion. For the static background video sequence, we proposed a method which combined the foreground segmentation with vanishing line technology. 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. Moreover, we proposed another conversion method for the dynamic background video sequence. Foreground segmentation was replaced by the relative velocity estimation based on the motion estimation and motion compensation. Combining the depth map from this work and the original 2D video, a vivid 3D video is produced.
Highlights
3D video signal processing has become a hot development trend with large potential in visual processing areas
Many methods have been proposed to convert 2D video to 3D video during the past few years. These conversion methods rely on different visual cues ranging from motion information perspective structures
3.3 Overview on Method-2 Dynamic background contains time-varying information and clutter-like appearance of dynamic textures [20]. Because this kind of video scene needs more consideration than the static background video scene, we propose Method-2 on the dynamic background for video sequence conversion
Summary
3.1 System overview In this paper, we propose the techniques where scene geometry cues from a video and incorporate them into video segmentation and grouping. 3.3 Overview on Method-2 Dynamic background contains time-varying information and clutter-like appearance of dynamic textures [20] Because this kind of video scene needs more consideration than the static background video scene, we propose Method-2 on the dynamic background for video sequence conversion. Background modeling and subtraction methods [21] have a strong assumption where the scenes of static structures are with limited perturbation. These methods will perform poorly in dynamic scenes. According to the above concepts, the segmented result of background and foreground and a user-guided vanishing line extraction method are combined with motion information between neighbor frames
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