期刊文献+

利用LBP特征与神经网络在嵌入式系统上实现人脸识别算法

Implementation of Face Recognition Algorithm via LBP Feature and Neural Network Classifier in Embedded System
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摘要 随着信息处理技术的发展,人脸识别技术在嵌入式平台上的应用越来越广泛。描述如何基于OpenCV视觉库在嵌入式平台利用LBP特征和神经网络实现人脸识别系统,并讨论如何在嵌入式平台上优化算法。 With the development of information processing techniques, the application of face recognition technique based on embedded systems is increasingly important. Describes the implementation of face recognition algorithm based on OpenCV and embedded systems by means of LBP features and nerual network, and discusses how to optimize the algorithm in embedded platform.
作者 刘爽
出处 《现代计算机》 2013年第13期23-25,共3页 Modern Computer
基金 清远职业技术学院2011年度自然科学研究课题(No.ZK11008)
关键词 LBP特征 神经网络 嵌入式系统 LBP Features Neural Network Embedded System
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参考文献3

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