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基于特征點的圖像匹配技術(shù)研究與應(yīng)用-資料下載頁

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【正文】 址:[2]陳浩. 圖像制導(dǎo)系統(tǒng)圖像匹配算法研究. 南京理工大學(xué)碩士學(xué)位論文,[3]王星. 目標(biāo)圖像匹配算法研究. 中北大學(xué)碩士論文,[4]熊凌. 計算機(jī)視覺中的圖像匹配綜述. 湖北大學(xué)學(xué)報, ,3:171~173[5]Barnea DI, Silverman HF. A class algorithms for fast digital image registration. Computers, IEEE Transactions on. 1972, C21(2):179~186.[6] 米長偉,劉曉利,徐明友. 基于SSDA的改進(jìn)算法. 彈箭與制導(dǎo)學(xué)報,第24卷第1期,2004[7]胡凱,張新宇,楊銳,劉德卿. 改進(jìn)的SSDA并行算法及其在TEM中的應(yīng)用. 北京航空航天大學(xué)學(xué)報,, 10: 12241227, 2009.[8]基于特征點的圖像配準(zhǔn)技術(shù)研究[9]Moravec HP. Towards automatic visual obstacle avoidance [C]. Proceeding of the 5th International Joint Conference on Artificial Intelligence, 1977, 584.[10]Harris C, Stephens MA. Combined corner and edge detector [C]. Proceeding of the 4th Alvey Vision Conference, 1988.[11]Davaid G Lowe. Distinctive Image Features from ScaleInvariant Keypoints [J]. International Journal of Computer Vision, (2): 91~110, 2004[12] and C. Schmid, Indexing Based on Scale Invariant Interest Points [C], Proc. Eighth Int’l Conf. Computer Vision, , 525531, 2001[13]T. Lindeberg. Feature detection with automatic scale selection [J]. International Journal of Computer Vision, 30(2):79116, 1998[14]. Object recognition from local scaleinvariant features [J]. In ICCV, 1999, 11501157[15]胡志萍. 圖像特征提取、匹配和新視點圖像生成技術(shù)研究. 大連理工大學(xué)博士論文,.[16]MariePierre Dubuisson, Anil . A Modified Hausdorff Distance for Object Matching. Proc of 12th International conference on Pattern Recognition. 1994:566~568[17]Kwon Oh Kyu, Sim Dong Gyu, Park Rae Hong. Robust Hausdorff distance matching algorithms using pyramidal structures. Pattern Recognition, 2001, 34(7):2005~2013[18]Jiguang Dai, Weidong Song, Jichao Zhang. Remote Sensing Image Matching via Harris Detector and Wavelet Domain. Geoinformatics 18th International Conference on Digital Object Identifier, 2010.
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