We address the problem of 3-D reconstruction using neuromorphic cameras (also known as event-driven cameras), which are a new class of vision-inspired imaging devices. Neuromorphic cameras are becoming increasingly popular for solving image processing and computer vision problems as they have significantly lower data rates than conventional frame-based cameras. We develop a neuromorphic-camera-based Fringe Projection Profilometry (FPP) system. We use the Dynamic Vision Sensor (DVS) in the DAVIS346 neuromorphic camera for acquiring measurements. Neuromorphic FPP is faster than a single-line-scanning method. Also, unlike frame-based FPP, the efficacy of the proposed method is not limited by the background while acquiring measurements. The working principle of the DVS also allows one to efficiently handle shadows thereby preventing ambiguities during 2-D phase unwrapping.

中文翻译：

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神经形态边缘投影轮廓术

我们使用神经形态相机（也称为事件驱动相机）解决 3D 重建问题，这是一种新型的视觉启发成像设备。神经形态相机在解决图像处理和计算机视觉问题方面变得越来越流行，因为它们的数据速率明显低于传统的基于帧的相机。我们开发了一种基于神经形态相机的边缘投影轮廓测量 (FPP) 系统。我们使用 DAVIS346 神经形态相机中的动态视觉传感器 (DVS) 来获取测量值。神经形态 FPP 比单线扫描方法更快。此外，与基于帧的 FPP 不同，所提出的方法的功效在获取测量值时不受背景的限制。