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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Gabor-based Kernel Independent Component Analysis for face recognition
点击次数：
论文类型：会议论文
发表时间：2010-01-01
收录刊物：Scopus
页面范围：376-379
摘要：In this paper, a new Gabor-based Kernel Independent Component Analysis (GKICA) method for face recognition is presented. This method first derives a Gabor feature vector from a set of down-sampled Gabor wavelet representations of face images, then reduces the dimensionality of the vector by means of kernel principal component analysis, and finally defines the independent Gabor kernel features based on the Independent Component Analysis (ICA). Experiments are performed to test the proposed algorithm on ORL dataset and Yale dataset. Results show that our new algorithm achieves higher recognition rates than ICA and Kernel Independent Component Analysis (KICA), and costs less time than Gable-based ICA (GICA). ? 2010 IEEE.