[1]
|
Zitová B, Flusser J. Image registration methods: a survey. Image and Vision Computing, 2003, 21: 977-1000[2] Lin Hai-Feng, Ma Yu-Feng, Song Tao. Research on object tracking algorithm based on SIFT. Acta Automatica Sinica, 2010, 36(8): 1204-1208(蔺海峰, 马宇峰, 宋涛. 基于SIFT特征目标跟踪算法研究. 自动化学报, 2010, 36(8): 1204-1208)[3] Zhang Lei, Zhang Zhi-Sheng, Shi Jin-Fei, Fu Qing-Shan. A new algorithm for fast corner detection using line search mechanism. Acta Automatica Sinica, 2010, 36(4): 509-521(张磊, 张志胜, 史金飞, 付清山. 一种快速检测图像焦点特征的线搜索式方法. 自动化学报, 2010,36(4): 509-521)[4] Liu Ping-Ping, Zhao Hong-Wei, Zang Xue-Bai, Dai Jin-Bo. A fast local feature description algorithm. Acta Automatica Sinica, 2010, 36(1): 40-45(刘萍萍, 赵宏伟, 藏雪柏, 戴金波. 一种快速局部特征描述算法. 自动化学报, 2010, 36(1): 40-45)[5] Rublee E, Rabaud V, Konolige K, Bradski G. ORB: an efficient alternative to SIFT or SURF. In: Proceedings of the 13th International Conference on Computer Vision. Barcelona, Espana: IEEE, 2011. 2564-2571[6] Leutenegger S, Chli M, Siegwart R Y. Brisk: binary robust invariant scalable keypoints. In: Proceedings of the 13th International Conference on Computer Vision. Barcelona, Espana: IEEE, 2011. 2548-2555[7] Ehsan S, Kanwal N, Clark A F, McDonald-Maier K D. An algorithm for the contextual adaption of SURF octave selection with good matching performance: best octaves. IEEE Transactions on Image Processing, 2012, 21(1): 297-304[8] Lowe D G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2004, 60(2): 91-110[9] Bay H, Tuytelaars T, van Gool L. SURF: speeded up robust features. In: Proceedings of the 9th European Conference on Computer Vision. New York, USA: IEEE, 2006. 404-417[10] Bay H, Ess A, Tuytelaars Y, van Gool L. Speeded-up robust features (SURF). Computer Vision and Image Understanding, 2008, 110(3): 346-359[11] Rosten E, Drummond T. Machine learning for high-speed corner detection. In: Proceedings of the 9th European Conference on Computer Vision. New York, USA: IEEE, 2006. 430-443[12] Rosten E, Porter R, Drummond T. Fast and better: a machine learning approach to corner detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1): 105-119[13] Chen Fang, Xiong Zhi, Xu Yun-Xi, Liu Jian-Ye. Research on the fast scene matching algorithm in the inertial integrated navigation system. Journal of Astronautics, 2009, 30(6): 2308-2316(陈方, 熊智, 许允喜, 刘建业. 惯性组合导航系统中的快速景象匹配算法研究. 宇航学报, 2009,30(6): 2308-2316)[14] Ratkavic J A. Performance Consideration for Image Matching Systems. Santa Monica, CA: Rand, 1979[15] Ratkavic J A, Conrow E H. Almost Everything One Needs to Know about Image Matching Systems. Santa Monica, CA: Rand Corporation, 1980[16] Yang Xin, Yang Xin. Approach to estimation of matching probability. Infrared and Laser Engineering, 2003, 32(3): 231-233(杨昕, 杨新. 匹配概率估计方法. 红外激光与工程, 2003, 32(3): 231-233)[17] Li Jun, Yang Xin, Yang Li. Mumford-Shah model based critical subset segmentation from navigation reference images. Acta Automatica Sinica, 2004, 30(1): 45-56(李俊, 杨新, 杨莉. 基于简化Mumford-Shah模型的导航基准图适配区分割方法. 自动化学报, 2004, 30(1): 45-56)[18] Bu Yan-Long. Matching Suitability of SAR Imaging Areaes for INS/SAR Integrated Navigation [Ph.D. dissertation], National University of Defense Technology, China, 2009(卜彦龙. 面向INS/SAR组合导航的SAR景象区域适配性研究[博士学位论文], 国防科学技术大学, 中国, 2009)[19] Li Jun, Yang Xin, Zhu Ju-Hua, Wang Jian-Qi, Deng Yan-Ping, Li Jie-Gu. Approach to selection of suitable-matching area from reference image. Journal of Data Acquisition and Processing, 2000, 15(4): 495-499(李俊, 杨新, 朱菊华, 王建琦, 邓雁萍, 李介谷. 一种选择适配区的算法. 数据采集与处理, 2000, 15(4): 495-499)[20] Lindeberg T. Scale-space. Encyclopedia of Computer Science and Engineering. New York: John Wiley and Sons, 2009, 4: 2495-2504.
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