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LBP已经成功应用于人脸检测,唇语识别,表情检测,动态纹理等等领域。其算法复杂度低,消耗内存小,原理简单.-LBP has been successfully applied to face detection, lip recognition, face detection, dynamic texture and so on. Its low algorithm complexity and memory consumption is small, simple principle.
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HMM人脸识别和LBP人脸识别等例子和资料-HMM LBP face recognition and face recognition and other examples and information
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者:陆振波
电子
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face recognition code using lbp ltp features
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局部二值模式(LBP),用于人脸识别局部文理特征的提取-Local binary pattern( LBP), local arts and feature extraction for Face Recognition
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局部多值模式LMP,对lbp的改进算法,用于人脸识别局部文理特征的提取-
Partial multiple- valued model LMP, improvements to the LBP algorithm for Face Recognition Feature extraction of local arts and sciences
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是对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率
-Is jaffe face recognition test the main library, the library will jaffe face divided into training and test sets of two parts, the first of LBP+LPQ image feature extrac
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人脸识别系统采用了LBP PCA 2CKPCA 2BSVM算法实现的,效率高。-Face Recognition System using LBP PCA 2B KPCA 2B SVM algorithm, and high efficiency.
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LBP作为一种人脸识别技术,改程序是将其用C语言代码实现并进行封装-LBP as a face recognition technology, the reform process is to use C language code and encapsulate
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[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载
作者: 陆振波
毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士
精通方向:信号处理,图像处理,人工智能,模式识别,支持向量机,深度学习,机器学习,机器视觉,群体智能,非线性与混沌,Matlab与VC++混编,大数据
擅长技能:团队激励,战略规划,企业文化,组织架构,C,C++,Matlab,OpenCV,并行计算,图像处理,智能视觉,卷积神经网络,人脸检测,行
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代码分为两部分,训练和测试,1、将训练图像的地址保存在taining_set.txt文件中,2、分别对训练图像进行预处理和特征提取,提取图像的LBP纹理图,再使用PCA方法进行降维。3、使用cvSVN进行分类-Face recognition
The code is divided into two parts, training and testing, 1, the training image is stored in the taining_set.txt file, 2, resp
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对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率-Jaffe face for the identification of the main test will jaffe face is divided into a training set and a test set of two parts, the first of LBP+LPQ image feature extractio
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本程序中,利用了LBP特征对人脸特征进行提取,并且利用SVM对提取的人脸特征进行训练和识别,其中,所用的图像处理库OpenCV2.4.9版本;通过对人脸库中的标准标本进行测试,算法识别率高达95%以上;(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
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基于LBP特征的人脸识别,还有很多地方不够完善,多担待(Face recognition based on LBP features)
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基于lbp实现人脸识别,使用matlab实现,代码简单易懂(Realization of face recognition)
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