Description: pca用于人脸识别的程序在matlab下运行的非常好用-pca for face recognition procedure in Matlab operating under very handy Platform: |
Size: 1024 |
Author:刘琳 |
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Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high. Platform: |
Size: 380928 |
Author:阳关 |
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Description: 基于ORL人脸库的人脸识别的特征人脸的提取源代码。-Based on the ORL face database for face recognition facial features extraction source code. Platform: |
Size: 4096 |
Author:yuzhun21 |
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Description: 用matlab实现了2dpca算法，基于ORL人脸数据库，识别率较高-Matlab achieved with 2dpca algorithm, based on the ORL face database, the higher recognition rate Platform: |
Size: 1024 |
Author:秦晔 |
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Description: 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 people, 10 per person a total of 400 BMP images. Platform: |
Size: 6144 |
Author:liz |
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Description: 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. Platform: |
Size: 3559424 |
Author:qjc |
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Description: MATLAB的LDA人脸识别计算率的程序在ORL库上可以运行的-MATLAB calculation of the rate of the LDA Face Recognition in the program can run on the ORL database of Platform: |
Size: 2048 |
Author:郝会娟 |
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Description: 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 Platform: |
Size: 1024 |
Author:王善民 |
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Description: 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 recognition test. Platform: |
Size: 1024 |
Author:李海 |
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Description: 利用2DPCA和2DLDA在ORL人脸数据库上做的人脸识别实验，注解详细，适合初学者使用，对理解PCA与LDA有很大的作用。-2DPCA and 2DLDA use in ORL face database for face recognition experiments do, comment in detail, suitable for beginners, on the understanding of PCA and LDA are very useful. Platform: |
Size: 3731456 |
Author:xiaocai |
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Description: 模块pca, 在人脸识别中进行特征提取，速度效率比PCA要高，基于ORL人脸库上进行试验。-In face recognition module pca feature extraction by speed, efficiency, than pca based on ORL face database on the test.
Platform: |
Size: 3931136 |
Author:白万荣 |
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Description: 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. Platform: |
Size: 5120 |
Author:liubosheng |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用2DPCA方法完成人脸检测实验。-Standards in the ORL face database or Yale to complete the pattern recognition task. Complete with face detection method 2DPCA experiment. Platform: |
Size: 2048 |
Author:潘潘 |
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Description: PCA人脸识别的MATLAB实现，包括了ORL人脸数据库。-PCA face recognition in MATLAB, including the ORL face database. Platform: |
Size: 3655680 |
Author:mikey |
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Description: 本文在Matlab R2012a下面实现了fisherface算法，选用的人脸库是ORL，其中有40 人，每人有10幅不同的人脸图像。本文选取了每人9幅作为训练(1幅作为测 试)，图像大小为112x92。
主程序入口：Main.m
读取样本：CreatDatabase.m
FisherFace核心：FisherFaceCore.m
识别：Recognition.m
训练样本库：TrainDatabase
测试样本库：TestDatabase
不足：识别准确率有待提高。-In this paper, Matlab R2012a achieved fisherface following algorithm is chosen face database ORL, in which 40 people, each person will have 10 different facial images. This paper selected as the training 9 per person (one as a test), the image size is 112x92.
Main entrance: Main.m
Read sample: CreatDatabase.m
FisherFace Core: FisherFaceCore.m
Identification: Recognition.m
Training sample library: TrainDatabase
Test sample library: TestDatabase
Inadequate: recognition accuracy to be improved. Platform: |
Size: 4238336 |
Author:邱竞 |
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Description: 人脸识别技术作为生物体特征识别技术的重要组成部分，在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法（PCA）在人脸识别中的应用，在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真，并对样本图像进行了重构。本实验在ORL人脸库的基础上，选用每人前5张图片，共计40人200幅样本图像，通过快速PCA算法将10304维的样本特征向量降至20维，并实现了基于主分量的人脸重建，验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction. Platform: |
Size: 20067328 |
Author:季科 |
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Description: 该系统为基于MATLAB平台的PCA的人脸识别系统，可识别ORL和YALE人脸库，方法实现统一，包括GUI界面。另外可二次开发成摄像头的实时人脸系统，识别出库外人脸，可做成门禁系统，考勤系统，打卡签到系统。实现登记出勤，报警等。
含论文，详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The method is unified, including GUI interface. In addition, it can be developed into a real-time face system of camera, which can recognize the face outside the warehouse, and can be made into access control system, attendance system, punch in system. Register attendance, alarm, etc.
Including paper and detailed notes.) Platform: |
Size: 1260544 |
Author:for Matlab |
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Search - orl IN FACE RECOGNITION IN MATLAB