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A Low-Cost Implementation of a 360° Vision Distributed Aperture System

机译:360°视觉分布式光圈系统的低成本实现

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Visible light cameras commonly used for surveillance applications usually have a limited field of view (FoV). To acquire a broader FoV, distributed aperture systems (DASs) combine views from multiple cameras. Although some commercial or proprietary systems already exist, the open literature in this field reports solely the performance and/or hardware architecture of the respective systems, and omits the required details for a reimplementation. In this paper we present a low-cost, personal-computer-based 360° DAS, with a full description of the hardware architecture and the software implementation details. In particular, we describe in detail two problems, the offline estimation of the orientations of the cameras of the proposed DAS and the online synthesis of a virtual view in real time. For the first problem, we propose an area-based bundle adjuster by combining the forward additive Lucas–Kanade algorithm with a bundle adjustment strategy. The color virtual view of up to pixels is synthesized online at 39 frames/s. A large majority of the workload of the online phase is implemented on the graphic processing unit. The techniques and methods proposed in this paper are generic and independent on the arrangement of cameras.
机译:通常用于监视应用的可见光摄像机通常具有有限的视野(FoV)。为了获得更广泛的FoV,分布式光圈系统(DAS)结合了来自多个摄像机的视图。尽管已经存在一些商业或专有系统,但该领域的公开文献仅报告了相应系统的性能和/或硬件体系结构,并省略了重新实现所需的细节。在本文中,我们介绍了一种低成本的基于个人计算机的360°DAS,其中包括对硬件体系结构和软件实现细节的完整描述。特别是,我们详细描述了两个问题,即所提出的DAS摄像机的方向的离线估计和实时虚拟视图的在线合成。对于第一个问题,我们通过将前向加性Lucas-Kanade算法与捆绑调整策略相结合,提出了一种基于区域的捆绑调整器。在线以39帧/秒的速度合成最多像素的彩色虚拟视图。在线阶段的大部分工作量是在图形处理单元上实现的。本文提出的技术和方法是通用的,并且与摄像机的布置无关。

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