Optics and Precision Engineering, Volume. 19, Issue 6, 1391(2011)
Improved algorithm for SIFT feature extraction and matching
[1] [1] SHEN R J,LI X J.Automatic selenograph production- new direction of the lunar remote sensor data processing[J]. Journal of the Academy of Equipment Command& Technology,2010,21(1):1-5. (in Chinese)
[3] [3] GAO CH,ZHANG X,WANG Y L,et al.. Automatic stitching approach of aerial image sequence based on SIFT features[J]. Computer Applications, 2007,21(11):2789-2792. (in Chinese)
[4] [4] LI X M, ZHENG L, HU ZH Y. SIFT Based automatic registration of remotely-sensed imagery[J].Journal of Remote Sensing, 2006,10(6):885-892.(in Chinese)
[5] [5] LIU H M, WANG H, DUAN H F. A bidirectional matching SIFT algorithm[J]. Ordnance Industry Automation, 2009,28(6):89-91. (in Chinese)
[6] [6] QIAN S, ZHU J Y. Improved SIFT-based bidirectional image matching algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2007,26(9):1179-1182. (in Chinese)
[9] [9] FISHCHLER M, BOLLES R.Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography[J]. Communication Association Machine, 1981, 24(6):381-395.
[10] [10] LOWE D G. Distinctive image features from scale- invariant keypoints[J].International Journal of Computer Vision,2004, 60(2):91-l10.
[11] [11] ZHAO X Y,DU L M. An automatic and robust image mosaic algorithm[J]. Journal of Image and Graphic, 2004,9(4):417-422.(in Chinese)
[12] [12] Download from http://www.robots.ox .ac.uk/~vgg/research/affine
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ZENG Luan, WANG Yuan-qin, TAN Jiu-bin. Improved algorithm for SIFT feature extraction and matching[J]. Optics and Precision Engineering, 2011, 19(6): 1391
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Received: Dec. 29, 2010
Accepted: --
Published Online: Jul. 18, 2011
The Author Email: ZENG Luan (zengluan@sina.com)