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AN EFFICIENT 2D TO 3D VIDEO CONVERSION METHOD BASED ON SKELETON LINE TRACKING

机译:基于骨架线跟踪的3D视频转换方法有效2D

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3DTV is becoming more and more popular but the 3D sequences are still very few. In this paper, we proposed an efficient 2D to 3D video conversion method based on skeleton line tracking. In our method, for a key frame, the foreground object and the corresponding depth image can be obtained by interactive method. For a non-key frame, we first generate the skeleton lines of the object in the previous frame and predict them in the current frame, then recover the object by the Lazy Snapping method. A robust and fast optical flow method is introduced to make the prediction better. At last, the depth image is generated to composite the stereo image. Because only the skeleton lines of the object rather than the whole object are tracked, the computational complexity is much lower than other tracking methods. The experimental results show that our method is feasible.
机译:3DTV正在变得越来越流行,但3D序列仍然很少。在本文中,我们提出了一种基于骨架线跟踪的3D视频转换方法的高效2D。在我们的方法中,对于关键帧,可以通过交互方法获得前景对象和相应的深度图像。对于非关键帧,我们首先在前帧中生成对象的骨架线,并在当前帧中预测它们,然后通过延迟捕捉方法恢复对象。引入稳健和快速的光学流量方法以使预测更好。最后,生成深度图像以复合立体图像。由于仅跟踪对象的骨架线而不是整个对象,所以计算复杂性远低于其他跟踪方法。实验结果表明,我们的方法是可行的。

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