搜索资源列表
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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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LBP人脸识别方法的几篇论文和程序，对学习lbp很有用的-LBP face recognition methods and procedures in several papers, useful for learning lbp
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利用matlab编写的完整的人脸识别程序，希望对大家有帮助-Using matlab to prepare a complete face recognition process, we hope to help
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MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can b
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发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dic
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这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
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基于SVD的人脸识别，可以直接计算出识别正确率-SVD-based face recognition, and can directly calculate the correct rate of recognition
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PCA代码
主成分分析代码
适合初学人脸识别的朋友学习使用-PCA principal component analysis source code suitable for beginner learning to use face recognition friend
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人脸识别中TensorPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition TensorPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go
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此实验使用核Fisher鉴别分析（KFDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40
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人脸识别和人眼跟踪的程序包，MATLAB编写，可直接函数调用。-Human face recognition and eye tracking package, MATLAB prepared direct function call.
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PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。-PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.
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Face Recognition using PCA
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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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人脸识别：使用PCA方法，即主成分分析，区分人脸和非人脸。主要用于随即过程大作业。-Face Recognition: Using the PCA method, that is, principal component analysis, the distinction between face and non-human face. Then the process used mainly for large operations.
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人脸识别中的经典算法代码FLD，对初学者很有用，可以下来用用看-Face Recognition in the classical algorithm code FLD, useful for beginners, you can look down and used by
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the code is for face recognition in color images.
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这是一个基于人脸识别的双边2DLDA程序，其中每人随机选9个做训练，1个做测试，作20次后平均-This is a bilateral 2DLDA procedures based on face recognition, in which each of 9 randomly selected for training, one to do testing for 20 times the average
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