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pca
- 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.
ORLanotate
- scr ipt to annotate (eye position) the available ORL face database
VWMS
- c#视频监控全部源代码，用到的数据库是access数据库。-c# video surveillance all the source code, used in the database is access the database.
ImprovedPCAFaceRecognitionAlgorithm
- 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
facedetect
- 如题所示，满足一定功能的人脸识别系统原代码，并且已经建立了人脸库，方便实验-Such as the title shows, meet certain features Face Recognition System source code, and the face database has been established to facilitate the experimental
facebank
- 含有各种供人脸检测与识别的人脸库，供人脸检测与识别测试用-many kinds of faces for face detection and recognition，for you to test your programme on face database
jiyutezhengronghehemohuhepanbian
- 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定 位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基 准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进 行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最 近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
AnimprovedBayesianfacerecognitionalgorithm
- 对人脸识别的贝叶斯方法ML中相似度计算公式进行了简化，对数据集的训练和人脸图像的预处理进 行了修改，提出了一种改进的贝叶斯人脸识另1】算法SML。在FERET人脸图像库的子集和南大人脸图像实验库上对 识别算法进行了测试和比较。实验表明，SML算法提高了ML算法的效率，克服了ML算法计算效率不高的缺陷，而 且SML的识别效率明显高于PCA方法。-Bayesian face recognition method on the ML in the similarity formula ha
kpca
- kpca的matlab源码，只要有人脸库就可用！-kpca of matlab source, as long as people face database can be used!
PCAOK
- PCA人脸识别，在ORL人脸库中有88 的识别率，简单方便-PCA face recognition, in the ORL face database, 88 recognition rate, simple
Facedetect
- 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。-Computer Fac
MLbayesface
- 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
s
- 人脸分割检测，可以从一张图片中分割出每个人的脸，做成人脸库，然后检测。-Split face detection, can be segmented from a picture in everybody' s face, do adults face database, and then test.
face
- 基于matlab的人脸识别，不包含图像库，使用PCA分析方法-Matlab-based face recognition, image database does not include the use of PCA analysis
att_faces
- face database of different people
ModualPCA
- 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.
10.1.1.74.5643
- aleix@ecn. Semantic queries to a database of images are more desirable than low-level feature queries, because they facilitate the user s task. One such approach is the object-related image retrieval. In the context people s names and facia
Arch_Corr2_nor
- This code is face localization programme. It reads faces from yale database and localize the face in the image.
yalefaces
- Yale人脸数据库，用与人脸识别，包括15个人，每人11张图片-Yale face database, use and recognition, including 15 individuals, each of 11 pictures
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.