计算机科学 ›› 2014, Vol. 41 ›› Issue (7): 306-309.doi: 10.11896/j.issn.1002-137X.2014.07.063
肖汉,马歌,周清雷
XIAO Han,MA Ge and ZHOU Qing-lei
摘要： Harris角点检测算法是计算机视觉领域中使用非常广泛的点特征提取算法,它计算简单,稳定性强,但运算速度慢。当前已有算法优化研究一般只针对单一硬件平台,它们很难实现在不同平台上的高效运行。为此提出一种基于开放式计算语言(OpenCL)设计思想的Harris角点检测并行算法,其采用图形处理器(GPU)中共享存储器、常量存储器和锁页内存机制在OpenCL框架下完成影像角点检测的全过程。实验结果表明,基于OpenCL的Harris角点检测并行算法相比CPU上的串行算法可获得 的加速比 高达77倍,执行效率明显提高,对于大规模数据处理表现出良好的实时处理能力。
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