| 基于LASVM面部识别的验证研究 |
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| 引用本文： | 刘彪,吴云峰,吴华君. 基于LASVM面部识别的验证研究[J]. 自动化信息, 2011, 0(10): 36-38 |
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| 作者姓名： | 刘彪 吴云峰 吴华君 |
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| 作者单位： | 电子科技大学光电信息学院,成都610054 |
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| 摘 要： | 在LSVM算法的基础上提出了利用LASVM算法来进行人脸识别的方法。首先利用MEGM度量学习算法转换CAS—PEAL—R1人脸共享数据库的样本数据和测试数据的特征空间，然后采用LSVM算法程序训练测试转换后的人脸数据并进行分类识别，最高准确率可达到98％。实验表明：利用LASVM算法进行人脸识别，不但识别速度快而且识别...
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| 关 键 词： | LSVM LASVM 度量学习算法 CAS—PEAL—R1 特征空间 |
Verification Study on Facial Recognition Based on LASVM |
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| LIU Biao,WU Yun-feng,WU Hua-jun. Verification Study on Facial Recognition Based on LASVM[J]. Automation Information, 2011, 0(10): 36-38 |
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| Authors: | LIU Biao WU Yun-feng WU Hua-jun |
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| Affiliation: | (School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 610054) |
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| Abstract: | On the basis of LASVM algorithm, a method of using LASVM algorithm to distinguish human faces is proposed. MEGM measure learning algorithm is firstly applied by LASVM algorithm to transfer characteristic space of training sample data and testing data in CAS-PEAL-RI face sharing database, and then, LSVM algorithm program is used for training the tested and converted face data and further categorically recognizing these data, the highest accuracy rate can reach to 98%. The experiment indicates that the face recognition method by making use of LASVM algorithm is of high speed, high efficiency and higher feasibility. |
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| Keywords: | LSVM LASVM Measure Learning Algorithm CAS-PEAL-R1 Feature Space |
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