搜索资源列表
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fisher线性鉴别分析的人脸识别，在ORL库上实验，可在其他库上运行-fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database
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运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
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这是一篇关于adaboost.m1算法的人脸识别源码,识别率挺高的，读入任意人脸库即可运行，已经过测试-This is a source code of face recognition algorithm on adaboost.m1 .code has been tested ,you can read face database to run
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基于PCA的人脸识别源代码，使用matlab编程，针对ORL库-PCA-based face recognition source code, the use of matlab programming, for ORL database
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使用Fisher线性鉴别分析（FLDA）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。-The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per pe
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Amir Hossein Omidvarnia用matlab编写的基于PCA的人脸识别系统和基于FLD的人脸识别系统,其中
的图像示例为Essex face database中 face94 的部分图像,文献可参考"Eigenfaces vs. Fisherfaces:
Recognition using class specific linear projection."已经测试过程序可正常运行没有问题。-Amir Hossein Omidvarnia prepared using
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The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
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本程序描述了pca在人脸识别上的应用。并带有输入输出，可在人脸库上进行试验。-This procedure describes the pca in face recognition applications. And with the input and output can be tested on the face database.
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基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量-Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of sample
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在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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This code is LDA base face recognition programme. It reads nots
faces from ORL database a
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sparsity preserving projections (SPP)方法，根据论文《sparsity preserving projections with applications to face recognition》使用AR人脸数据库-sparsity preserving projections (SPP)method, according to the paper "sparsity preserving projections with applications t
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运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
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基于主成分分析的人脸识别的方法 在ORL人脸库中运行-Face recognition based on principal component analysis method in the ORL face database is running
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多尺度LBP的原代码，用于人脸识别，在orl数据库中的识别率达97 以上。-Multi- scale LBP original code, used in face recognition and the recognition rate of over 97 in orl database.
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face database for face recognition
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This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it
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通过主成分分析，对已有人脸库进行人脸识别，效果非常好，非常显著-Through principal component analysis, the existing face recognition, face database are effect is very good, is very significant
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程序通过提取人脸图像的质心、协方差、偏转角等特征量与数据库中已有参数进行比对，从而进行人脸的识别。-Procedure to extract the centroid of the face image, covariance, the deflection angle has the feature quantity parameters of the database and compared to identify human faces.
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Face recognition with database.
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