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- W2316074893 abstract "基于局部特征的匹配算法中SIFT(Scale Invariant Feature Transform)算法性能好，应用广泛，但其描述子的维度高、匹配耗时大，对局部相似区域的匹配鲁棒性差。为此，该文提出一种Contourlet-SIFT特征匹配算法。在尺度空间下提取旋转不变特征，对特征及其邻域进行Contourlet变换，由各方向子带分解系数的均值和标准差构建全局纹理描述向量，根据向量间欧氏距离的大小进行特征点排序，选取距离较小的前1%的特征再进行SIFT最近邻比值匹配。实验结果表明该算法对亮度差异大、相似区域多的图像的匹配性能优于SIFT，在保证尺度、旋转、视角等不变性与SIFT相当的同时，匹配速度大为提升。" @default.
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- W2316074893 date "2014-02-14" @default.
- W2316074893 modified "2023-10-16" @default.
- W2316074893 title "Contourlet-SIFT Feature Matching Algorithm" @default.
- W2316074893 doi "https://doi.org/10.3724/sp.j.1146.2012.01132" @default.
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