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Chin. Opt. Lett.
 Home  List of Issues    Issue 09 , Vol. 05 , 2007    Image recognition of laser radar using linear SVM correlation filter


Image recognition of laser radar using linear SVM correlation filter
Jianfeng Sun, Qi Li, Wei Lu, Qi Wang
National Key Laboratory of Tunable Laser Technology, Institute of Optoelectronics, [Harbin Institute of Technology], Harbin 150001

Chin. Opt. Lett., 2007, 05(09): pp.549-551-3

DOI:
Topic:Image processing
Keywords(OCIS Code): 100.5760  070.6110  280.3640  

Abstract
Through deducing the relationship between support vector machine (SVM) and correlation principle, the optimal hyperplane is proved as a correlation filter when the kernel function is the linear kernel. So a new correlation filter, named linear SVM correlation filter (LSCF), is proposed. The filter has not only shift-invariance, but also SVM properties. The real images of laser radar are used as experiment data, and LSCF is used to solve the in-plane rotation invariance. The results show that the filter can recognize the different rotated objects, and the correlation output is stable. The filter is insensitive to the noise and gray change, and has good discrimination ability. In the same design way, LSCF is also suitable to solve other problems of correlation distortion.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2007/2/2
Accepted:
Posted online:

Get Citation: Jianfeng Sun, Qi Li, Wei Lu, Qi Wang, "Image recognition of laser radar using linear SVM correlation filter," Chin. Opt. Lett. 05(09), 549-551-3(2007)

Note: J. Sun's e-mail address is hit_sunjianfeng@yahoo.com.cn.



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