采用精选Gabor小波和SVM分类的物体识别OA北大核心CSCDCSTPCD
Gabor Wavelet Selection and SVM Classification for Object Recognition
This paper proposes a Gabor wavelets and support vector machine (SVM)-based framework for object recognition. When discriminative features are extracted at optimized locations using selected Gabor wavelets, classificati…查看全部>>
This paper proposes a Gabor wavelets and support vector machine (SVM)-based framework for object recognition. When discriminative features are extracted at optimized locations using selected Gabor wavelets, classifications are done via SVM. Compared to conventional Gabor feature based object recognition system, the system developed in this paper is both robust and efficient. The proposed framework has been successfully applied to two object recog…查看全部>>
沈琳琳;纪震
School of Computer and Software Engineering, Shenzhen Uni-versity, Shenzhen 518060, P. R. ChinaSchool of Computer and Software Engineering, Shenzhen Uni-versity, Shenzhen 518060, P. R. China
信息技术与安全科学
Gabor featuresupport vector machine (SVM)object recognition
Gabor featuresupport vector machine (SVM)object recognition
《自动化学报》 2009 (4)
粒子群优化算法的研究及其在图象压缩编码中的应用
350-355,6
Supported by National Natural Science Foundation of China(60572100, 60673122), Royal Society (U.K.) International Joint Projects 2006/R3-Cost Share with NSFC (60711130233), ScienceFoundation of Shenzhen City (CXQ2008019, 200706), and Scientific Research Foundation for the Returned Overseas Chinese Scholars,State Education Ministry (2008[890])
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