连续多投影姿态估计的分布式协作框架

Tyler Johnson, G. Welch, H. Fuchs, E. Force, H. Towles
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引用次数: 28

摘要

我们提出了一种新的多投影机显示器校准框架,该框架通过在实际显示使用过程中持续估计和精炼所有投影机的姿势来实现连续的几何校准。我们的框架通过作为“智能”投影机单元的分布式系统运行来提供可扩展性:投影机增加了固定安装的摄像机,并与专用计算机配对。每个单元与它的同伴异步交互,利用它们的综合计算能力来合作估计所有投影仪的姿势。在投影表面是静态的情况下,我们的系统能够不断地改进所有投影机的姿势,即使它们同时变化。
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A Distributed Cooperative Framework for Continuous Multi-Projector Pose Estimation
We present a novel calibration framework for multi-projector displays that achieves continuous geometric calibration by estimating and refining the poses of all projectors in an ongoing fashion during actual display use. Our framework provides scalability by operating as a distributed system of "intelligent" projector units: projectors augmented with rigidly-mounted cameras, and paired with dedicated computers. Each unit interacts asynchronously with its peers, leveraging their combined computational power to cooperatively estimate the poses of all of the projectors. In cases where the projection surface is static, our system is able to continuously refine all of the projector poses, even when they change simultaneously.
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