文件名称:FaceDet(Gabor_netWork)
介绍说明--下载内容均来自于网络,请自行研究使用
使用Gabor特征提取和神经网络的人脸检测,里面带有人脸和非人脸的训练图库,检测效果很好。
运行该程序:
1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序,你必须有图像处理和神经网络工具箱
2 - 找到名为“main.m”的文件
3 - 双击这个文件或在命令窗口中的“主”类型
4 - 将显示一个菜单。点击“火车网”,并等待,直到程序完成培训
5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片
6 - 等待,直到程序检测到一些面孔
-Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces
运行该程序:
1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序,你必须有图像处理和神经网络工具箱
2 - 找到名为“main.m”的文件
3 - 双击这个文件或在命令窗口中的“主”类型
4 - 将显示一个菜单。点击“火车网”,并等待,直到程序完成培训
5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片
6 - 等待,直到程序检测到一些面孔
-Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces
(系统自动生成,下载前可以参看下载内容)
下载文件列表
神经网络
........\fdv54
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........\.....\.....\changelog.txt
........\.....\.....\createffnn.m
........\.....\.....\create_gabor.m
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........\.....\.....\face
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........\.....\.....\gabor.m
........\.....\.....\gabor.mat
........\.....\.....\im1.jpg
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........\.....\.....\im2vec.m
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........\.....\.....\imgdb.mat
........\.....\.....\imscan.m
........\.....\.....\license.txt
........\.....\.....\loadimages.m
........\.....\.....\main.m
........\.....\.....\mminmax.m
........\.....\.....\net.mat
........\.....\.....\non-face
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