搜索资源列表
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关于人脸识别中的ICA算法，用MATLAB实现-on the ICA face recognition algorithm in MATLAB
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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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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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核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Anal
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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fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition
method, which is called Fisherface [1].
All functions are easy to use, as they are heavy commented.
Furtheremore, a sample scr ipt is incl
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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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This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot
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非常有用的人脸识别工具包，包含了各种PCA,LDA, KPCA, KFA及其变种。在Matlab环境下可以直接运行。-The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scr ipts intended to help researchers working in the field of face recognit
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人脸识别中的光照处理方法，计算晶粒的生长，入门级别程序,在matlab R2009b调试通过。- Face Recognition light treatment method, Calculation of growth, entry-level program grains In matlab R2009b debugging through.
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人脸识别中的光照处理方法，基于掌纹识别的在线身份验证 识别算法本科毕设，在matlab R2009b调试通过。- Face Recognition light treatment method, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, In matlab R2009b debugging through.
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基于matlab的人脸识别系统pca
以下Matlab项目包含用于基于pca的人脸识别系统的源代码和Matlab示例。代码也包含在数据库中。该项目中包含的源代码和文件列在项目文件部分，请确保列出的源代码是否满足您的需求。-Face recognition system pca based in matlabThe following Matlab project contains the source code and Matlab examples used for face recogn
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人脸识别，神经网络算法，识别各式人脸，输出准确率，人脸数据在压缩包里(Face recognition, neural network algorithm, identify all kinds of face, output accuracy, face data in the compressed package)
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视频中人脸识别与跟踪的matlab基础程序(MATLAB basic program for face recognition and tracking in video)
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对人脸识别的基本进程进行综述,介绍了空间转换及识别的方法；采用低通滤波处理策略,在总结和分析这些处理方法的基础上,运用填孔处理和边缘检测的人脸识别方法进行人脸识别工作；将几种边缘检测算法与人脸识别相结合进行检测,其识别率有可观的提升。(The basic process of face recognition is reviewed, and the method of space conversion and recognition is introduced. On the basis of
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运用PCA算法，可以通过摄像头实时获取人脸，进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
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