├── README.md ├── arrDataMat.m ├── face_images ├── all │ ├── 01-1m.jpg │ ├── 01-2m.jpg │ ├── 01-3m.jpg │ ├── 01-4m.jpg │ ├── 01-5m.jpg │ ├── 01-6m.jpg │ ├── 02-1m.jpg │ ├── 02-2m.jpg │ ├── 02-3m.jpg │ ├── 02-4m.jpg │ ├── 02-5m.jpg │ ├── 02-6m.jpg │ ├── 03-1m.jpg │ ├── 03-2m.jpg │ ├── 03-3m.jpg │ ├── 03-4m.jpg │ ├── 03-5m.jpg │ ├── 03-6m.jpg │ ├── 04-1m.jpg │ ├── 04-2m.jpg │ ├── 04-3m.jpg │ ├── 04-4m.jpg │ ├── 04-5m.jpg │ ├── 04-6m.jpg │ ├── 05-1m.jpg │ ├── 05-2m.jpg │ ├── 05-3m.jpg │ ├── 05-4m.jpg │ ├── 05-5m.jpg │ ├── 05-6m.jpg │ ├── 06-1m.jpg │ ├── 06-2m.jpg │ ├── 06-3m.jpg │ ├── 06-4m.jpg │ ├── 06-5m.jpg │ ├── 06-6m.jpg │ ├── 07-1m.jpg │ ├── 07-2m.jpg │ ├── 07-3m.jpg │ ├── 07-4m.jpg │ ├── 07-5m.jpg │ ├── 07-6m.jpg │ ├── 08-1f.jpg │ ├── 08-2f.jpg │ ├── 08-3f.jpg │ ├── 08-4f.jpg │ ├── 08-5f.jpg │ ├── 08-6f.jpg │ ├── 09-1m.jpg │ ├── 09-2m.jpg │ ├── 09-3m.jpg │ ├── 09-4m.jpg │ ├── 09-5m.jpg │ ├── 09-6m.jpg │ ├── 10-1m.jpg │ ├── 10-2m.jpg │ ├── 10-3m.jpg │ ├── 10-4m.jpg │ ├── 10-5m.jpg │ ├── 10-6m.jpg │ ├── 11-1m.jpg │ ├── 11-2m.jpg │ ├── 11-3m.jpg │ ├── 11-4m.jpg │ ├── 11-5m.jpg │ ├── 11-6m.jpg │ ├── 12-1f.jpg │ ├── 12-2f.jpg │ ├── 12-3f.jpg │ ├── 12-4f.jpg │ ├── 12-5f.jpg │ ├── 12-6f.jpg │ ├── 13-1m.jpg │ ├── 13-2m.jpg │ ├── 13-3m.jpg │ ├── 13-4m.jpg │ ├── 13-5m.jpg │ ├── 13-6m.jpg │ ├── 14-1f.jpg │ ├── 14-2f.jpg │ ├── 14-3f.jpg │ ├── 14-4f.jpg │ ├── 14-5f.jpg │ ├── 14-6f.jpg │ ├── 15-1f.jpg │ ├── 15-2f.jpg │ ├── 15-3f.jpg │ ├── 15-4f.jpg │ ├── 15-5f.jpg │ ├── 15-6f.jpg │ ├── 16-1m.jpg │ ├── 16-2m.jpg │ ├── 16-3m.jpg │ ├── 16-4m.jpg │ ├── 16-5m.jpg │ ├── 16-6m.jpg │ ├── 17-1m.jpg │ ├── 17-2m.jpg │ ├── 17-3m.jpg │ ├── 17-4m.jpg │ ├── 17-5m.jpg │ ├── 17-6m.jpg │ ├── 18-1m.jpg │ ├── 18-2m.jpg │ ├── 18-3m.jpg │ ├── 18-4m.jpg │ ├── 18-5m.jpg │ ├── 18-6m.jpg │ ├── 19-1m.jpg │ ├── 19-2m.jpg │ ├── 19-3m.jpg │ ├── 19-4m.jpg │ ├── 19-5m.jpg │ ├── 19-6m.jpg │ ├── 20-1m.jpg │ ├── 20-2m.jpg │ ├── 20-3m.jpg │ ├── 20-4m.jpg │ ├── 20-5m.jpg │ ├── 20-6m.jpg │ ├── 21-1m.jpg │ ├── 21-2m.jpg │ ├── 21-3m.jpg │ ├── 21-4m.jpg │ ├── 21-5m.jpg │ ├── 21-6m.jpg │ ├── 22-1f.jpg │ ├── 22-2f.jpg │ ├── 22-3f.jpg │ ├── 22-4f.jpg │ ├── 22-5f.jpg │ ├── 22-6f.jpg │ ├── 23-1m.jpg │ ├── 23-2m.jpg │ ├── 23-3m.jpg │ ├── 23-4m.jpg │ ├── 23-5m.jpg │ ├── 23-6m.jpg │ ├── 24-1m.jpg │ ├── 24-2m.jpg │ ├── 24-3m.jpg │ ├── 24-4m.jpg │ ├── 24-5m.jpg │ ├── 24-6m.jpg │ ├── 25-1m.jpg │ ├── 25-2m.jpg │ ├── 25-3m.jpg │ ├── 25-4m.jpg │ ├── 25-5m.jpg │ ├── 25-6m.jpg │ ├── 26-1m.jpg │ ├── 26-2m.jpg │ ├── 26-3m.jpg │ ├── 26-4m.jpg │ ├── 26-5m.jpg │ ├── 26-6m.jpg │ ├── 27-1m.jpg │ ├── 27-2m.jpg │ ├── 27-3m.jpg │ ├── 27-4m.jpg │ ├── 27-5m.jpg │ ├── 27-6m.jpg │ ├── 28-1m.jpg │ ├── 28-2m.jpg │ ├── 28-3m.jpg │ ├── 28-4m.jpg │ ├── 28-5m.jpg │ ├── 28-6m.jpg │ ├── 29-1m.jpg │ ├── 29-2m.jpg │ ├── 29-3m.jpg │ ├── 29-4m.jpg │ ├── 29-5m.jpg │ ├── 29-6m.jpg │ ├── 30-1f.jpg │ ├── 30-2f.jpg │ ├── 30-3f.jpg │ ├── 30-4f.jpg │ ├── 30-5f.jpg │ ├── 30-6f.jpg │ ├── 31-1m.jpg │ ├── 31-2m.jpg │ ├── 31-3m.jpg │ ├── 31-4m.jpg │ ├── 31-5m.jpg │ ├── 31-6m.jpg │ ├── 32-1m.jpg │ ├── 32-2m.jpg │ ├── 32-3m.jpg │ ├── 32-4m.jpg │ ├── 32-5m.jpg │ ├── 32-6m.jpg │ ├── 33-1m.jpg │ ├── 33-2m.jpg │ ├── 33-3m.jpg │ ├── 33-4m.jpg │ ├── 33-5m.jpg │ ├── 33-6m.jpg │ ├── 34-1m.jpg │ ├── 34-2m.jpg │ ├── 34-3m.jpg │ ├── 34-4m.jpg │ ├── 34-5m.jpg │ ├── 34-6m.jpg │ ├── 35-1f.jpg │ ├── 35-2f.jpg │ ├── 35-3f.jpg │ ├── 35-4f.jpg │ ├── 35-5f.jpg │ ├── 35-6f.jpg │ ├── 36-1m.jpg │ ├── 36-2m.jpg │ ├── 36-3m.jpg │ ├── 36-4m.jpg │ ├── 36-5m.jpg │ ├── 36-6m.jpg │ ├── 37-1m.jpg │ ├── 37-2m.jpg │ ├── 37-3m.jpg │ ├── 37-4m.jpg │ ├── 37-5m.jpg │ ├── 37-6m.jpg │ ├── 38-1m.jpg │ ├── 38-2m.jpg │ ├── 38-3m.jpg │ ├── 38-4m.jpg │ ├── 38-5m.jpg │ ├── 38-6m.jpg │ ├── 39-1m.jpg │ ├── 39-2m.jpg │ ├── 39-3m.jpg │ ├── 39-4m.jpg │ ├── 39-5m.jpg │ ├── 39-6m.jpg │ ├── 40-1m.jpg │ ├── 40-2m.jpg │ ├── 40-3m.jpg │ ├── 40-4m.jpg │ ├── 40-5m.jpg │ └── 40-6m.jpg ├── test │ ├── 01-6m.jpg │ ├── 02-6m.jpg │ ├── 03-6m.jpg │ ├── 04-6m.jpg │ ├── 05-6m.jpg │ ├── 06-6m.jpg │ ├── 07-6m.jpg │ ├── 08-6f.jpg │ ├── 09-6m.jpg │ ├── 10-6m.jpg │ ├── 11-6m.jpg │ ├── 12-6f.jpg │ ├── 13-6m.jpg │ ├── 14-6f.jpg │ ├── 15-6f.jpg │ ├── 16-6m.jpg │ ├── 17-6m.jpg │ ├── 18-6m.jpg │ ├── 19-6m.jpg │ ├── 20-6m.jpg │ ├── 21-6m.jpg │ ├── 22-6f.jpg │ ├── 23-6m.jpg │ ├── 24-6m.jpg │ ├── 25-6m.jpg │ ├── 26-6m.jpg │ ├── 27-6m.jpg │ ├── 28-6m.jpg │ ├── 29-6m.jpg │ ├── 30-6f.jpg │ ├── 31-6m.jpg │ ├── 32-6m.jpg │ ├── 33-6m.jpg │ ├── 34-6m.jpg │ ├── 35-6f.jpg │ ├── 36-6m.jpg │ ├── 37-6m.jpg │ ├── 38-6m.jpg │ ├── 39-6m.jpg │ └── 40-6m.jpg └── train │ ├── 01-1m.jpg │ ├── 01-2m.jpg │ ├── 01-3m.jpg │ ├── 01-4m.jpg │ ├── 01-5m.jpg │ ├── 02-1m.jpg │ ├── 02-2m.jpg │ ├── 02-3m.jpg │ ├── 02-4m.jpg │ ├── 02-5m.jpg │ ├── 03-1m.jpg │ ├── 03-2m.jpg │ ├── 03-3m.jpg │ ├── 03-4m.jpg │ ├── 03-5m.jpg │ ├── 04-1m.jpg │ ├── 04-2m.jpg │ ├── 04-3m.jpg │ ├── 04-4m.jpg │ ├── 04-5m.jpg │ ├── 05-1m.jpg │ ├── 05-2m.jpg │ ├── 05-3m.jpg │ ├── 05-4m.jpg │ ├── 05-5m.jpg │ ├── 06-1m.jpg │ ├── 06-2m.jpg │ ├── 06-3m.jpg │ ├── 06-4m.jpg │ ├── 06-5m.jpg │ ├── 07-1m.jpg │ ├── 07-2m.jpg │ ├── 07-3m.jpg │ ├── 07-4m.jpg │ ├── 07-5m.jpg │ ├── 08-1f.jpg │ ├── 08-2f.jpg │ ├── 08-3f.jpg │ ├── 08-4f.jpg │ ├── 08-5f.jpg │ ├── 09-1m.jpg │ ├── 09-2m.jpg │ ├── 09-3m.jpg │ ├── 09-4m.jpg │ ├── 09-5m.jpg │ ├── 10-1m.jpg │ ├── 10-2m.jpg │ ├── 10-3m.jpg │ ├── 10-4m.jpg │ ├── 10-5m.jpg │ ├── 11-1m.jpg │ ├── 11-2m.jpg │ ├── 11-3m.jpg │ ├── 11-4m.jpg │ ├── 11-5m.jpg │ ├── 12-1f.jpg │ ├── 12-2f.jpg │ ├── 12-3f.jpg │ ├── 12-4f.jpg │ ├── 12-5f.jpg │ ├── 13-1m.jpg │ ├── 13-2m.jpg │ ├── 13-3m.jpg │ ├── 13-4m.jpg │ ├── 13-5m.jpg │ ├── 14-1f.jpg │ ├── 14-2f.jpg │ ├── 14-3f.jpg │ ├── 14-4f.jpg │ ├── 14-5f.jpg │ ├── 15-1f.jpg │ ├── 15-2f.jpg │ ├── 15-3f.jpg │ ├── 15-4f.jpg │ ├── 15-5f.jpg │ ├── 16-1m.jpg │ ├── 16-2m.jpg │ ├── 16-3m.jpg │ ├── 16-4m.jpg │ ├── 16-5m.jpg │ ├── 17-1m.jpg │ ├── 17-2m.jpg │ ├── 17-3m.jpg │ ├── 17-4m.jpg │ ├── 17-5m.jpg │ ├── 18-1m.jpg │ ├── 18-2m.jpg │ ├── 18-3m.jpg │ ├── 18-4m.jpg │ ├── 18-5m.jpg │ ├── 19-1m.jpg │ ├── 19-2m.jpg │ ├── 19-3m.jpg │ ├── 19-4m.jpg │ ├── 19-5m.jpg │ ├── 20-1m.jpg │ ├── 20-2m.jpg │ ├── 20-3m.jpg │ ├── 20-4m.jpg │ ├── 20-5m.jpg │ ├── 21-1m.jpg │ ├── 21-2m.jpg │ ├── 21-3m.jpg │ ├── 21-4m.jpg │ ├── 21-5m.jpg │ ├── 22-1f.jpg │ ├── 22-2f.jpg │ ├── 22-3f.jpg │ ├── 22-4f.jpg │ ├── 22-5f.jpg │ ├── 23-1m.jpg │ ├── 23-2m.jpg │ ├── 23-3m.jpg │ ├── 23-4m.jpg │ ├── 23-5m.jpg │ ├── 24-1m.jpg │ ├── 24-2m.jpg │ ├── 24-3m.jpg │ ├── 24-4m.jpg │ ├── 24-5m.jpg │ ├── 25-1m.jpg │ ├── 25-2m.jpg │ ├── 25-3m.jpg │ ├── 25-4m.jpg │ ├── 25-5m.jpg │ ├── 26-1m.jpg │ ├── 26-2m.jpg │ ├── 26-3m.jpg │ ├── 26-4m.jpg │ ├── 26-5m.jpg │ ├── 27-1m.jpg │ ├── 27-2m.jpg │ ├── 27-3m.jpg │ ├── 27-4m.jpg │ ├── 27-5m.jpg │ ├── 28-1m.jpg │ ├── 28-2m.jpg │ ├── 28-3m.jpg │ ├── 28-4m.jpg │ ├── 28-5m.jpg │ ├── 29-1m.jpg │ ├── 29-2m.jpg │ ├── 29-3m.jpg │ ├── 29-4m.jpg │ ├── 29-5m.jpg │ ├── 30-1f.jpg │ ├── 30-2f.jpg │ ├── 30-3f.jpg │ ├── 30-4f.jpg │ ├── 30-5f.jpg │ ├── 31-1m.jpg │ ├── 31-2m.jpg │ ├── 31-3m.jpg │ ├── 31-4m.jpg │ ├── 31-5m.jpg │ ├── 32-1m.jpg │ ├── 32-2m.jpg │ ├── 32-3m.jpg │ ├── 32-4m.jpg │ ├── 32-5m.jpg │ ├── 33-1m.jpg │ ├── 33-2m.jpg │ ├── 33-3m.jpg │ ├── 33-4m.jpg │ ├── 33-5m.jpg │ ├── 34-1m.jpg │ ├── 34-2m.jpg │ ├── 34-3m.jpg │ ├── 34-4m.jpg │ ├── 34-5m.jpg │ ├── 35-1f.jpg │ ├── 35-2f.jpg │ ├── 35-3f.jpg │ ├── 35-4f.jpg │ ├── 35-5f.jpg │ ├── 36-1m.jpg │ ├── 36-2m.jpg │ ├── 36-3m.jpg │ ├── 36-4m.jpg │ ├── 36-5m.jpg │ ├── 37-1m.jpg │ ├── 37-2m.jpg │ ├── 37-3m.jpg │ ├── 37-4m.jpg │ ├── 37-5m.jpg │ ├── 38-1m.jpg │ ├── 38-2m.jpg │ ├── 38-3m.jpg │ ├── 38-4m.jpg │ ├── 38-5m.jpg │ ├── 39-1m.jpg │ ├── 39-2m.jpg │ ├── 39-3m.jpg │ ├── 39-4m.jpg │ ├── 39-5m.jpg │ ├── 40-1m.jpg │ ├── 40-2m.jpg │ ├── 40-3m.jpg │ ├── 40-4m.jpg │ └── 40-5m.jpg ├── getFileList.m ├── main.m ├── pca_data.mat ├── pca_test.m ├── pca_train.m ├── results ├── 前n个特征脸.png ├── 原始人脸.png ├── 平均脸.png ├── 测试准确率.png ├── 特征值分布.png └── 重建人脸.png └── simitzj.m /README.md: -------------------------------------------------------------------------------- 1 | - [详细介绍](https://Daibingh.github.io/2018/12/05/基于-PCA-人脸识别-MATLAB-实现/) 2 | - 一个简单的检测+识别 [GUI](https://github.com/Daibingh/FRBP) 3 | -------------------------------------------------------------------------------- /arrDataMat.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Daibingh/MATLAB-PCA-face-recognition/29507db172ab2562189d94e657ddc98ec1e9ea10/arrDataMat.m -------------------------------------------------------------------------------- /face_images/all/01-1m.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Daibingh/MATLAB-PCA-face-recognition/29507db172ab2562189d94e657ddc98ec1e9ea10/face_images/all/01-1m.jpg -------------------------------------------------------------------------------- /face_images/all/01-2m.jpg: 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