搜索资源列表
matlab-PCA 基于matlab的PCA人脸识别完成程序
- 基于matlab的PCA人脸识别完成程序，包含特征值与特征向量的提取、训练样本以复制到matlab即可，成功运行，及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition
PCA
- PCA,主成分分析，可应用于矩阵降维，人脸特征提取及人脸识别。-PCA, principal component analysis, can be applied to matrix reduction, facial feature extraction and face recognition.
matlab-Face-Recognition-Detection
- MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can b
PCA
- 主成分分析，可以用来做人脸识别的程序，方便，快捷-Principal component analysis, face recognition can be used to do the procedure, convenient and fast
pca
- PCA主成分分析，用于人脸识别，特征提取等-PCA principal component analysis for face recognition, feature extraction, etc.
PCA-Face-Recognition
- 一个用PCA算法实现的人脸识别小程序，备注详细，有利于学习。-a PCA althology to recognize faces
pcaFISHER
- PCA+Fisher人脸识别，已在ORL人脸库上测试，效果不错-face recognition,including PCA and Fisher methods.
homework
- 使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。-PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
PCA
- 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.
PCA
- 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
pca
- pca 特征提取的源代码，对人脸识别很有帮助，-pca feature extraction of the source code, useful for face recognition,
PCA
- 这是基于主成分分析的人脸识别，非常具有借鉴价值-This is based on principal component analysis for face recognition have great reference value
pca
- pca进行人脸识别，首先对人脸图象进行训练，得到投影矩阵，然后再进行人脸识别-pca for face recognition, the first human face images for training, to be the projection matrix, and then to face recognition
wt_pca
- matlab实现的小波分解和pca结合的人脸识别算法，识别率较好-matlab implementation of wavelet decomposition and pca combination of face recognition algorithms, a better recognition rate
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
FLD_basedFaceRecognitionSystem_v2
- pca+fisher 人脸识别MATLAB程序，附加图像数据库，适合简单的人脸识别。 -pca+ fisher face recognition program using MATLAB , adding image database for easy recognition.
基于Gabor-pca的人脸识别
- 人脸识别完整的程序，特征提取之后，然后用分类器识别。-face recognition
PCA+GUI人脸识别
- 基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
PCA_based Face Recognition System
- 基于主成分分析pca的人脸识别matlab源码，用的是orl库(Face recognition matlab source code based on PCA)
人脸识别 MATLAB代码
- 使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algor