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Proposed_code
- Image classification using RBFSVM and Manhattan distance. It detects face and eye. Face detection using Viola jones.
FacialExpressionClassification
- 1. 使用matlab自带的人脸识别工具（Viola-Jones算法）找出人脸的位置，并裁剪出人脸区域。 2. 使用Gabor滤波器识别出人脸的局部特征及纹理。 3. 训练一个SVM进行表情分类。 4. 交叉验证得到表情分类正确率为83.3 。 操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human
基于人脸检测的点名系统
- 使用viola-jones算法实现人脸检测并将人脸剪裁出来，通过统计被剪裁人脸的个数实现课堂出勤人数的统计(Face detection using Viola-Jones algorithm, and cut out the face, through the statistics of the number of faces cut to achieve class attendance statistics)
shishizhuizong
- 实时人脸识别与追踪，主要运用了Matlab计算机视觉工具箱，维奥拉-琼斯算法，KTL算法。 直接运行代码会出现”错误使用webcam，尚未安装MATLAB Support Package for USB Webcams。打开Support Package Installer即可安装Webcam Support Package”这个错误。(Real time face recognition and tracking mainly use Matlab Computer Vision Too
Identify_faces
- 使用Viola-Jones算法来检测人脸，鼻子，眼睛，嘴巴或上身，并框出。(Use the viola-jones algorithm to detect faces, noses, eyes, mouths or upper body and frame them)