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[Special EffectsLDA-based-face-recognition

Description: 基于LDA的人脸识别技术,从ORL数据库读数据,然后从中取一部分进行训练,一部分进行测试。-This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test. LDA_Performance shows the recognition performance.
Platform: | Size: 1024 | Author: tangqinqin | Hits:

[Windows Developlda_orl

Description: This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test.LDA_Performance shows the recognition performance. -This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test.LDA_Performance shows the recognition performance.
Platform: | Size: 1024 | Author: rajat singh | Hits:

[Special Effectsshibie

Description: 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. -Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La
Platform: | Size: 58368 | Author: houhj | Hits:

[matlablda

Description: This code is LDA base face recognition programme. It reads nots faces from ORL database a
Platform: | Size: 1024 | Author: samira | Hits:

[File FormatORL-FACE

Description: Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.
Platform: | Size: 7017472 | Author: sam | Hits:

[Special EffectsORL

Description: 人脸库,一共40个脸,每个脸10张图片,.pgm格式,可以用matlab直接处理-Face database, a total of 40 faces, each face 10 pictures,. Pgm format, you can deal directly with matlab
Platform: | Size: 3078144 | Author: hobby | Hits:

[Bio-RecognizeFinalProject_rc2748

Description: This my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).-This is my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).
Platform: | Size: 8456192 | Author: crtn | Hits:

[Graph RecognizefisherRec

Description: Face recognition using fisher faces method with the ORL database
Platform: | Size: 10853376 | Author: ANCAR | Hits:

[Graph RecognizeFastPCA_Feature_extraction-on-ORL

Description: 通过FastPCA在ORL人脸数据集上提取主成分脸并可视化,ReadFaces函数读取每个人的前五张图片作为实验数据集。-Extracting principal component faces on ORL_faces datasets by FastPCA and visualing them are done.ReadFaces function reads the five pictures of everyone as the experimental data set.
Platform: | Size: 6634496 | Author: houyifu | Hits:

[OpenCVchapter13

Description: pca,svm人脸识别,有训练,识别,和orl人脸库-pca,svm source code, can detect human faces
Platform: | Size: 11450368 | Author: mumu | Hits:

[Other DatabasesORL-faces

Description: ORL人脸数据库,主要用于人脸识别和人脸检测的研究-ORL face database, mainly used to study face recognition and face detection
Platform: | Size: 3658752 | Author: 周萍 | Hits:

[Special EffectsPCA_Face_Recognition

Description: 这是基本面识别的PCA程序代码。它写道nots(这里面5)从数据库(NOC - nots and the rest)are used as测试。PCA的性能_节目the识别性能。-This code is PCA base face recognition programme. It reads nots(here 5) faces ORL and the rest (noc-nots) are used as test. PCA_Performance shows the recognition performance.In order to be able to run this programme for ORL face you need to download the face . You can google it and it is for free.
Platform: | Size: 2048 | Author: 张三 | Hits:

[Special Effectspiliang

Description: 这是批量读取ORL人脸库的人脸 再进行批量处理 最后再批量保存的程序 自己运行过 可以实现-The function is meant to read, do with and save ORL faces once a time.
Platform: | Size: 4096 | Author: 小丸子 | Hits:

[OtherfaceRecognition

Description: 基于SVM和PCA的人脸识别,使用了ORL人脸数据集和libsvm.jar-Face recognition based on SVM and PCA. ORL faces dataset and libsvm.jar are used
Platform: | Size: 5120 | Author: 江运帷 | Hits:

[matlabPCA

Description: 数据来源:ORL Database of Faces人脸数据库 其中同一个人的10张人脸图像为一组,共40组,图像大小为112x92 采用PCA算法实现对人脸的识别,当每组训练样本占70 时,识别准确率达到96.67 -Source: ORL Database of Faces face in which the same person 10 face images as a group, a total of 40 groups, image size of 112x92 using PCA algorithm for face recognition, each training sample 70 when recognition accuracy rate of 96.67
Platform: | Size: 3803136 | Author: 林恒冬 | Hits:

[AI-NN-PRmpca

Description: 以下Matlab项目包含用于模块化pca的源代码和Matlab示例。 代码有一些问题,orl面部从1.pgm命名为400.pgm.5从每个类中随机抽取的测试和训练集。图像分为4部分。-The following Matlab project contains the source code and Matlab examples used for modular pca. the code has some problem,orl faces are named 1.pgm to 400.pgm.5 images taken randomly each class for test and training set.images are divided in 4 parts.please help listed source code meet your needs there.
Platform: | Size: 2048 | Author: | Hits:

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