计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 165-167.doi: 10.11896/j.issn.1002-137X.2016.6A.038
甘威,张素文,雷震,李怡凡
GAN Wei, ZHANG Su-wen, LEI Zhen and LI Yi-fan
摘要: 特征的检测和匹配在计算机视觉应用中是一个重要的组成部分,如图像匹配、物体识别和视频跟踪等。SIFT算法以其尺度不变性和旋转不变性在图像配准领域得到了广泛应用。传统的SIFT算法效率低,因此提出一种在移动智能终端上实现的高效方法。在Android平台利用OpenCL框架实现了移动智能终端的SIFT算法,通过计算任务的重新分配,优化SIFT算法在移动GPU上的并行实现。实验结果表明,移动平台的SIFT算法充分利用了GPU并行计算能力,大大提高了SIFT算法的执行效率,实现了高效的特征检测。
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