Neuromorphic Fringe Projection Profilometry
Neuromorphic Fringe Projection Profilometry
复制标题
神经形态条纹投影轮廓测定法
DOI：
10.1109/lsp.2020.3016251
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发表时间：
2020
影响因子：
3.9
通讯作者：
C. S. Thakur
中科院分区：
文献类型：
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作者：
Ashish Rao Mangalore;C. Seelamantula;C. S. Thakur
我们使用神经形态相机（也称为事件驱动相机）解决三维重建问题，这是一类新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越来越受欢迎，因为它们的数据速率明显低于传统的基于帧的相机。我们开发了一个基于神经形态相机的条纹投影轮廓测量（FPP）系统。我们在DAVIS346神经形态相机中使用动态视觉传感器（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，该方法在获取测量值时的有效性不受背景的限制。分布式交换机的工作原理还允许人们有效地处理阴影，从而防止在二维阶段展开时出现歧义。
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.
非带限信号的基于时间的采样和重构
DOI：
10.1109/icassp.2019.8682626
发表时间：
2019
期刊：
--
影响因子：
--
作者：
Alexandru R
通讯作者：
Alexandru R