Structure from motion with planar homography estimation: a real-time low-bandwidth, high-resolution variant for aerial reconnaissance

C. Arnold, S. Nykl, Scott Graham, R. Leishman
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Abstract

We propose a new algorithm variant for Structure from Motion (SfM) to enable real-time image processing of scenes imaged by aerial drones. Our new SfM variant runs in real-time at 4 Hz equating to an 80× computation time speed-up compared to traditional SfM and is capable of a 90% size reduction of original video imagery, with an added benefit of presenting the original two-dimensional (2D) video data as a three-dimensional (3D) virtual model. This opens many potential applications for a real-time image processing that could make autonomous vision–based navigation possible by completely replacing the need for a traditional live video feed. The 3D reconstruction that is generated comes with the added benefit of being able to generate a spatially accurate representation of a live environment that is precise enough to generate global positioning system (GPS) coordinates from any given point on an imaged structure, even in a GPS-denied environment.
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具有平面单应性估计的运动结构:用于空中侦察的实时低带宽、高分辨率变体
我们提出了一种新的运动结构(SfM)算法变体,以实现无人机图像的实时图像处理。与传统的SfM相比,我们的新SfM变体以4 Hz的频率实时运行,相当于80倍的计算时间加速,并且能够将原始视频图像的大小减少90%,并且具有将原始二维(2D)视频数据呈现为三维(3D)虚拟模型的额外好处。这为实时图像处理开辟了许多潜在的应用,通过完全取代传统的实时视频馈送,可以使基于视觉的自主导航成为可能。生成的3D重建带来的额外好处是能够生成实时环境的空间精确表示,即使在没有GPS的环境中,也足以从成像结构上的任何给定点生成全球定位系统(GPS)坐标。
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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