计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 291-296.doi: 10.11896/j.issn.1002-137X.2014.11.057
郭一超,李清勇,孙靳睿,黄雅平,田媚
GUO Yi-chao,LI Qing-yong,SUN Jin-rui,HUANG Ya-ping and TIAN Mei
摘要： 在基于词袋模型的图像检索框架中,图像包含的SIFT特征点往往数量比较大,特征不够强。因此图像检索系统的效率和性能往往受影响。基于SIFT特征点的性质和视觉显著性原理,提出了SIFT特征点的局部对称性度量方法,并且在图像检索框架中嵌入了基于对称性的SIFT特征点过滤方法和加权策略,以提升SIFT特征点的利用效率。在牛津大学建筑物图像集上的实验结果表明,提出的基于对称性的SIFT特征点选择策略能有效地提高图像检索的性能。
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