[1]唐坤,韩斌.一种自适应搜索范围的SIFT特征点快速匹配算法[J].智能系统学报,2014,9(6):723-728.[doi:10.3969/j.issn.1673-4785.201309037]
 TANG Kun,HAN Bin.A new fast algorithm of self-adaptive search scope for SIFT matching[J].CAAI Transactions on Intelligent Systems,2014,9(6):723-728.[doi:10.3969/j.issn.1673-4785.201309037]
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一种自适应搜索范围的SIFT特征点快速匹配算法

参考文献/References:
[1] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[2] KRYSTIAN M, CORDELIA S. A performance evaluation of local descriptors[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1615-1630.
[3] BAY S H, TUYTELAARS T, GOOL L V. SURF: speed up robust features[C]//Proceedings of the European Conference on Computer Vision. Graz, 2006: 404-417.
[4] YAN K, SUKTHANKAR R. PCA-SIFT: a more distinctive representation for local image descriptors[C]//Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, USA, 2004: 506-513.
[5] FARAJ A, DANIJELA R D, AXEL G. VF-SIFT: very fast sift feature matching[C]//Proc of the 32nd DAGM Symposium. Darmstadt, Germany, 2010: 222-231.
[6] GIONIS A, INDYK P, MOTWANI R. Similarity search in high dimensions via hashing[C]//Proc of the 25th International Conference on Very Large Data Bases. San Francisco, USA, 1999: 518-529.
[7] BEIS J S, LOWE D G. Shape indexing using approximate nearest-neighbor search in high-dimensional spaces[C]//Proceedings of the CVPR. San Juan, 1997: 1000-1006.
[8] SLANEY M, CASEY M. Locality-sensitive hashing for finding nearest neighbors[J]. IEEE Signal Processing Magazine, 2008, 25(2): 128-131.
[9] 何周灿,王庆,杨恒. 一种面向快速图像匹配的扩展LSH算法[J]. 四川大学学报:自然科学版, 2010, 47(2): 269-274.HE Zhoucan, WANG Qin, YANG Heng. An extended local sensitivity hash algorithm for efficient image matching[J]. Journal of Sichuan University: Natural Science Edition, 2010, 47(2): 269-274.
[10] MUJA M, LOWE D G. Fast approximate nearest neighbors with automatic algorithm configuration[C]//International Conference on Computer Vision Theory and Applications. 2009: 331-340.
[11] MUJA M, LOWE D G. Fast matching of binary features[C]//Conference on Computer and Robot Vision. : 2012: 404-410.
[12] 吴伟交,王敏等. 基于向量夹角的SIFT特征点匹配算法[J]. 模式识别与人工智能, 2013, 26(1): 123-127.WU Weijiao, WANG Min. SIFT feature matching algorithm based on vector angle[J]. Pattern Recognition and Artificial Intelligence(PR&AI), 2013, 26(1): 123-127.
[13] 同济大学数学系. 高等数学[M]. (6版)(下册). 北京: 高等教育出版社, 2007: 109-113.
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备注/Memo

收稿日期:2013-9-11;改回日期:。
作者简介:唐坤,男,1988年生,硕士研究生,主要研究方向为数字图像处理,人工智能;韩斌,男,1968年生,教授,博士,主要研究方向为数字图像处理、智能检测、并行计算。
通讯作者:唐坤.E-mail:tkpaperzc@sina.cn.

更新日期/Last Update: 2015-06-16
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