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A spatio-temporal inpainting method for Kinect depth video

机译:用于Kinect深度视频的时空初始化方法

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In this paper, we propose a spatio-temporal inpainting method to recover depth images generated by Kinect. Based on the assumption that neighbouring pixels similar in color are likely to have similar depth values, for the first depth image and the sub-images including the motion bodies extracted from the following depth frames, we use color segmentation maps of the corresponding color video frames to guide the depth filling. Considering that some dark regions without valid depth value could lead to the fail of color-segmentation based depth filling, we design a dark region detection method and further refine hole-filling of the unfilled regions with the valid depth values of the same dark region. For the static areas of Kinect depth video, the recovered depth at the same position of previous frame is used to recover the lost depth in the current depth frame. Experimental results show that the proposed method significantly improves depth quality by successfully filling the holes so that we can use it for better 3D rendering.
机译:在本文中,我们提出了一种时空染色方法来恢复由Kinect生成的深度图像。基于该假设,其颜色相似的相邻像素可能具有类似的深度值,对于第一深度图像和包括从以下深度帧提取的运动体的子图像,我们使用相应的彩色视频帧的颜色分割映射引导深度填充。考虑到没有有效深度值的一些暗区可能导致基于颜色分割的深度填充的失败,我们设计了一个暗区域检测方法,并通过相同暗区的有效深度值进一步细化未填充区域的孔填充。对于Kinect深度视频的静态区域,使用先前帧的相同位置处的恢复深度用于恢复电流深度帧中的丢失深度。实验结果表明,该方法通过成功填充孔来显着提高深度质量,以便我们可以将其用于更好的3D渲染。

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