摘要
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4s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.
出处
《光电工程》
CAS
CSCD
北大核心
2013年第6期43-50,共8页
Opto-Electronic Engineering
基金
哈尔滨市科技局创新人才项目(2008RFQXG110)
黑龙江省教育厅科学技术研究项目(12531601)
黑龙江科技大学青年才俊支持计划项目
关键词
结构光三维测量
图形硬件
GPU
快速计算
structured light 3D measurement
graphics hardware
GPU
fast calculation
