A dedicated lightweight binocular stereo system for real-time depth-map generation

Trevor Gee, P. Delmas, Sylvain Joly, Valentin Baron, R. Ababou, J. Nezan
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引用次数: 3

Abstract

This work describes a light weight dedicated system, capable of generating a sequence of depth-maps computed from image streams acquired from a synchronized pair of GoPro HERO 3+ cameras in real-time. The envisioned purpose is to capture depth-maps from mid-sized drones for computer vision applications (e.g. surveillance and management of ecosystems). The implementation is of modular design, consisting of a dedicated camera synchronisation box, fast lookup based rectification system, a block matching based dense correspondence finder that uses dynamic programming, and a simple disparity-to-depth conversion module. The final output is transmitted to a server via WIFIor G4 LTE cellular Internet connection for further processing. The complete pipeline is implemented on an Android tablet. The main novelty is the system's ability to operate on small portable devices while retaining reasonable quality and real-time performance for outdoor applications. Our experimental results in estuary, forestry and dairy farming environment support this claim.
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用于实时深度图生成的专用轻量级双目立体系统
这项工作描述了一个轻量级的专用系统,能够从同步的一对GoPro HERO 3+相机实时获取的图像流中生成一系列深度图。设想的目的是从中型无人机捕获深度图,用于计算机视觉应用(例如生态系统的监视和管理)。实现采用模块化设计,包括专用摄像机同步盒、基于快速查找的纠偏系统、基于动态规划的块匹配密集对应查找器和简单的差深转换模块。最终输出通过WIFIor G4 LTE蜂窝互联网连接传输到服务器进行进一步处理。完整的流水线在Android平板电脑上实现。主要的新颖之处在于该系统能够在小型便携式设备上运行,同时保持户外应用的合理质量和实时性能。我们在河口、林业和奶牛养殖环境中的实验结果支持了这一说法。
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