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Through-the-Lens Multi-camera Synchronisation and Frame-Drop Detection for 3D Reconstruction

机译:镜头多镜头同步和丢帧检测,用于3D重建

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Synchronisation is an essential requirement for multiview 3D reconstruction of dynamic scenes. However, the use of HD cameras and large set-ups put a considerable stress on hardware and cause frame drops, which is usually detected by manually verifying very large amounts of data. This paper improves [9], and extends it with frame-drop detection capability. In order to spot frame-drop events, the algorithm fits a broken line to the frame index correspondences for each camera pair, and then fuses the pair wise drop hypotheses into a consistent, absolute frame-drop estimate. The success and the practical utility of the the improved pipeline is demonstrated through a number of experiments, including 3D reconstruction and free-viewpoint video rendering tasks.
机译:同步是动态场景的多视图3D重建的基本要求。但是,使用高清摄像机和大型设置会给硬件带来很大压力,并导致帧丢失,通常可以通过手动验证大量数据来检测到帧丢失。本文进行了改进[9],并通过丢帧检测功能对其进行了扩展。为了发现丢帧事件,该算法将虚线拟合到每个摄像机对的帧索引对应关系,然后将逐对丢包假设融合为一致的绝对丢帧估计。通过许多实验,包括3D重建和自由视点视频渲染任务,证明了改进后的管道的成功和实用性。

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