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kpca
- 使用核PcA来识别图片,图片为200张测试图片,200张训练图片,包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
FaceRecognitonCode
- 人脸识别工具箱,包含了PCA,LDA两中方法-Face Recognition toolbox contains PCA, LDA in the two methods
pcajiafisher
- 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
mypca
- PCA算法在matlab中的实现,简单有效-PCA algorithm implementation in matlab, simple and effective
ORL_faces
- 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.
face_recognition
- 基于PCA的人脸识别系统,附带上人脸图像40组。随机选取图像,进行识别。-face recognition
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
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.
GaborPCA
- 程序实现了基于Gabor特征和PCA的人脸识别算法,具有较好的识别效果。-Program for Gabor features and PCA-based face recognition algorithm has better recognition effect.
face-recognition
- pca又称主成分分析,主要用来提取图像的主要成分,作为特征提取一个重要算法,将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
PCA_based-Face-Recognition-System
- PCA人脸识别实例,在matlab平台下使用,不错的学习资料。-Examples of PCA face recognition in matlab platform, a good learning materials.
pca_face_rec
- 人脸识别PCA,调用MATLAB中自带PCA接口;训练比率为70 时识别正确率为96.67 ,设置为75 识别正确率可达100 。能直接运行-PCA face recognition, calling MATLAB in PCA interface Training rate is 70 when recognition accuracy is 70 , is set to 75 recognition accuracy can reach 100 .IT can be run direct
