MasterCam FVV:多视图运动视频的健壮注册到一个静态的高分辨率主相机免费视点视频

Florian Angehrn, Oliver Wang, Yagiz Aksoy, M. Gross, A. Smolic
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引用次数: 6

摘要

免费视点视频可以在现实世界场景中进行交互式视点选择,这对于许多应用程序(如体育可视化)具有吸引力。多相机配准是这类系统的难点之一。我们介绍了静态高分辨率主相机的概念,以改善长期多视图对准。所有的广播摄像机都对准一个共同的参考点。我们的方法建立在帧对帧对齐的基础上,扩展为递归的长期估计过程,该过程在长序列上被证明是准确、鲁棒和稳定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video
Free viewpoint video enables interactive viewpoint selection in real world scenes, which is attractive for many applications such as sports visualization. Multi-camera registration is one of the difficult tasks in such systems. We introduce the concept of a static high resolution master camera for improved long-term multiview alignment. All broadcast cameras are aligned to a common reference. Our approach builds on frame-to-frame alignment, extended into a recursive long-term estimation process, which is shown to be accurate, robust and stable over long sequences.
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