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FaceImage
- 一组表情库,对于人脸识别的研究很有用,很难得到了的数据,提供使用。-A group of expression libraries are useful for the study of face recognition, it is difficult to get the data, providing use.
pca
- 用于各种特征提取主成分分析法,如表情提取,人脸提取,识别分类等-For a variety of features to extract the principal component analysis (pca),Such as expression extraction, face extraction, identification classification, etc
ORLPPCAPSVM
- ORL标准人脸库,40个人每人10张不同角度不同表情照片。 通过PCA主成分分析提取特征,再用SVM进行分类,达到较好的人脸识别。-Base on the standard facial library ORL,which contend 40 persons ,10 photos per one in different ankle and different emotion. The program use PCA and SVM method to recognize face.
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
finally.py
- 用树莓派实现人脸识别,通过分析出的表情播放音乐(Using raspberry pie to realize face recognition and play music)