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Efficient disparity map generation for moving multi-camera system using TOF depth sensor

机译:使用TOF深度传感器的移动多相机系统的高效视差图生成

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摘要

In this paper, we propose an efficient disparity map generation method for multi-view video sequences captured by a forward moving multi-camera system. Forward camera moving increases the minimum and maximum disparity value of each frame with time. Thus, computational complexity can be increased and the quality of generated disparity can be degraded since the stereo matching operation has to deal with a wide range of the disparity candidates. In order to solve this problem, we employ a time-of-flight (TOF) depth sensor as a guide to find the minimum and maximum disparity values for each frame. Then, the stereo matching process for video sequences captured by the moving multi-camera system becomes simple without quality degradation.
机译:在本文中,我们为前移多摄像机系统捕获的多视点视频序列提出了一种有效的视差图生成方法。向前移动相机会随着时间增加每个帧的最小和最大视差值。因此,由于立体匹配操作必须处理大范围的视差候选者,因此可以增加计算复杂度并且可以降低生成的视差的质量。为了解决此问题,我们采用飞行时间(TOF)深度传感器作为指导,以找到每帧的最小和最大视差值。然后,由移动多摄像机系统捕获的视频序列的立体声匹配处理变得简单而不会降低质量。

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