[1] Liu Zhaoxia, An Jubai. A Robust Point Matching Algorithm for Image Registration[C]//Proc. of the 3rd International Conference on Machine Vision. Hong Kong, China: [s. n.], 2010.
[2] David G L. Distinctive Image Features from Scale-invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[3] 郑雪梅, 范 勇, 石琦凯, 等. 一种基于点的快速图像配准算法[J]. 计算机工程, 2012, 38(1): 220-221.
[4] Marius L, Martial H. A Spectral Technique for Correspon- dence Problems Using Pairwise Constraints[C]//Proc. of the 10th IEEE International Conference on Computer Vision. Beijing, China: [s. n.], 2005.
[5] 张昌芳, 杨宏文, 胡卫东, 等. 一种用于点模式匹配的改进型谱方法[J]. 计算机工程, 2009, 35(2): 10-12.
[6] Tao Dacheng, Li Xuelong, Wu Xindong, et al. Geometric Mean for Subspace Selection[J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 2009, 31(2): 260-274.
[7] Yuan Yuan, Pang Yanwei, Wang Kongqiao, et al. Efficient Image Matching Using Weighted Voting[J]. Pattern Recognition Letters, 2012, 33(4): 471-475.
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[8] Yaron L, Thomas F. M?bius Voting for Surface Correspon- dence[J]. ACM Transactions on Graphics, 2009, 28(3): 1-12.
[9] Oscar K A, Tai Chiew-Lan, Daniel C, et al. Electors Voting for fast Automatic Shape Correspondence[J]. Computer Graphics Forum, 2010, 29(2): 645-654.
[10] Jiri M, Ondrej C, Martin U, et al. Robust Wide-baseline Stereo from Maximally Stable Extremal Regions[J]. Image and Vision Computing, 2004, 22(10): 761-767.
[11] Minsu C, Lee Jungmin, Kyoung M L. Feature Correspon- dence and Deformable Object Matching via Agglomerative Correspondence Clustering[C]//Proc. of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan: [s. n.], 2009.
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