针对 CCD摄像机高分辨率下 CPU进行三维测量计算效率低的问题, 提出基于 GPU技术的快速计算方法。同时针对三维测量的四个具备并行度的过程, 该方法给出了在 GPU上可实现的具体算法流程, 并根据数据规模及 GPU特性, 设计了一种新的 GPU设备端数据结构组织方式。实验结果表明, 该方法有效利用了 GPU的大规模并行处理能力, 在处理 500万像素数据过程中整个测量时间仅需 4 s左右, 计算效率是 CPU的 160倍。

For the problem of low calculation efficiency of CPU 3D measurement under CCD camera with high resolution, a new fast calculation method is proposed by GPU technology. At the same time, for the four parallel processes of 3D measurement, the method presents realizable specific algorithm processes in GPU. According to the data size and GPU characteristics, a new GPU data structure on device terminal is designed. The experimental results validate that the method effectively utilizes GPU massively parallel processing ability, the measurement time is only 4 seconds in the processing of the five-megapixel data, and the computational efficiency of the method is 160 times of CPU.