搜索资源列表
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采用特征脸的人脸识别MATLAB程序,加了中文注释-Eigenface using MATLAB Face Recognition procedures, add the Chinese Notes
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一种很重要的非监督降维方法,是流形学习算法Laplacian Eigenmap 的线性化方法,在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
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非负矩阵分解的人脸识别NMF 可正常运行 算法源码-Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source
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基于局部二值模式的人脸识别范例,其中选用了YALE人脸库作为仿真数据源。-Face recognition based on LBP
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PCA+LDA经典人脸识别算法,先用PCA降维,再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
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automatic face recognition -face recognition using eigenface method
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A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
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基于LDA的人脸识别软件,malab环境。很不错。-LDA-based face recognition software, malab environment. Is pretty good.
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基于遗传算法和bp网络的简单人脸识别,只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing
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本文设计基于DCT的人脸识别系统,首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用;然后研究了人脸识别进行预处理,讨论了人脸识别预处理的其他方法,分析各种方法的利弊,最后采用DCT(离散余弦变换)实现人脸图像预处理中的降维处理;接下来对人脸图像的特征提取进行了研究,简单叙述了几何特征提取和代数特征提取,同时深入研究了基于DCT和PCA变换的人脸图像特征提取,从而实现是否对人脸识别系统识别率有所提高的研究;对于分类器的选择,本文对两种分类器进行了探讨,即最近邻分类器和B
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This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
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贝叶斯分类器的设计与实现,非常好的应用程序,能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above
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LVQ神经网络的预测——人脸识别 LVQ神经网络的预测——人脸识别-LVQ neural network forecasting- LVQ neural network prediction Face- Face Recognition
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基于pca的人脸识别matlab程序,有详细说明,已经调试过了,可以运行-Pca-based face recognition matlab program, a detailed descr iption, have been debugged, you can run
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基于LVQ神经网络预测的人脸朝向识别的matlab源程序以及数据-LVQ neural network predictions based on face recognition matlab source towards.
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matlab下采用som神经网络算法进行100个人脸识别,可扩展性强。-som neural network using matlab under 100 face recognition algorithm, scalability.
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基于matlab的人脸识别算法(PCA)-based on the matlab face recognition algorithm (PCA)
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基于matlab的人脸识别代码,已调试,可运行,适合新手进行学习-Simple face recognition based on matlab, which has been debugging
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基于局部二值模式的人脸识别,可以参考进行学习,适合初学者(Face recognition based on LBP)
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用卷积神经网络(CNN)进行人脸识别,matlab编程,可用。(Convolutional neural network (CNN) is used for face recognition, and MATLAB programming is available.)
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