计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 286-290.doi: 10.11896/j.issn.1002-137X.2014.11.056
罗楠,孙权森,陈强,纪则轩,夏德深
LUO Nan,SUN Quan-sen,CHEN Qiang,JI Ze-xuan and XIA De-shen
摘要： 图像匹配技术是许多计算视觉问题研究的基础,基于图像局部特征的方法是本领域研究的热点。为了解决经典的SURF算法在旋转不变性上表现欠佳的问题,提出了一种结合SURF特征点与DAISY描述符的图像匹配算法。在SURF算法特征点检测的基础上,提出一种适合DAISY描述符的主方向分配方法,并按照该主方向旋转获得新的DAISY描述符。本算法在略微增加运算成本的基础上,增强了经典SURF算法在图像旋转上的匹配能力。实验结果表明,在图像模糊、光照变化、JPEG压缩比变化、视场变化等多种复杂情况下,本算法具有更强的鲁棒性。
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