基于fpga的结构光系统高速资源高效三维重建

Feng Bao, Zehua Dong, Jie Yu, Songping Mai
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摘要

为了实现高速、低资源消耗的三维测量,我们提出了一种并行、全流水线的FPGA结构用于相位测量轮廓测量算法。该系统采用四步相移和灰度码解码技术生成精确的三维点云。实验结果表明,该架构可以在12.2 ms内处理12帧分辨率为720 × 540的图像,比软件实现速度快110倍,并且与其他同类FPGA系统相比具有最小的资源消耗。这使得所提出的系统非常适合高速嵌入式三维形状测量应用。
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FPGA-Based High-Speed and Resource-Efficient 3D Reconstruction for Structured Light System
To achieve high-speed and low-resource consumption 3D measurement, we propose a parallel and full-pipeline FPGA architecture for the phase measuring profilometry algorithm. The proposed system uses four-step phase-shifting and gray code decoding to generate accurate 3D point clouds. Experimental results show that the proposed architecture can process 12 frames of images with a resolution of 720 × 540 in just 12.2 ms, which is 110 times faster than the same implementation in software, and has the smallest resource consumption compared with other similar FPGA systems. This makes the proposed system very suitable for high-speed embedded 3D shape measurement applications.
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