Chinese Journal of Lasers, Volume. 42, Issue s1, 108002(2015)
SIFT Feature Drmension Reduction Method and its Application in Image Retrieval
[1] [1] Fu Shaohong, Lei Juxia. Internet Information Resources Retrieval and Utilization[M]. Beijing: Tsinghua University Press, 2005.
[2] [2] Sun Junding. Research of Content-Based Image Retrieval Technology[D]. Xi'an: Xi'an Electronic Science and Technology University, 2005.
[3] [3] Di Bo. Research of Content-Based Visual Information Retrieval Technology[D]. Chengdu: University of Electronic Science and Technology,2007.
[4] [4] Cai Lei. Research of Texture-Based Image Retrieval Method[D]. Changchun: Jilin University,2007.
[5] [5] An Zhiyong, Zeng Zhiyong, Zhao Shan, et al.. Texture-based image retrieval[J]. Optoelectronics·Laser,2008, 19(2):230-231.
[6] [6] Dong Weijun, Zhou Mingqun,Geng Guohua. Image retrieval technology based on shape-spatial relationship[J]. Computer Engineering, 2005, 31(20):170-171.
[7] [7] Li Jian. Image Retrieval Technology Based on Shape[D]. Suzhou: Soochow University,2009.
[8] [8] Lowe D G. Object recognition from local scale-invariant features[C].Computer Vision, 1999.The proceedings of the seventh IEEE international conference on.IEEE, 1999,2: 1150-1157.
[9] [9] He Xiaofei, Partha Niyogi. Locality Preserving Projections [D].Chicago:The University of Chicago,2003.
[10] [10] Liu Yan. Image feature description of color and scale invariant[J]. Journal of Chinese Computer Systems, 2012, 33(10):2300-2301.
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Hou Yimin, Sui Wenxiu, Sun Xiaoxue. SIFT Feature Drmension Reduction Method and its Application in Image Retrieval[J]. Chinese Journal of Lasers, 2015, 42(s1): 108002
Category: Measurement and metrology
Received: Jan. 25, 2015
Accepted: --
Published Online: Sep. 14, 2015
The Author Email: Yimin Hou (ymh7821@163.com)