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LDAandPCA
- 站长！这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架，比较好！-head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good!
MPCACodes
- MPCA程序，用于人脸特征提取，很有用，欢迎交流探讨-MPCA program for facial feature extraction, is useful, welcomed the exchange of
a
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
218_aubt
- 本代码是基于面部感情特征提取的一种遗传算法，-The code is based on the facial feature extraction of the feelings of a genetic algorithm,
eigenface_f
- 实现了给予人脸的特征提取与模式识别，是模式识别中比较经典的实例分析-Achieved a given facial feature extraction and pattern recognition, is the more classic examples of pattern recognition analysis of
feature_extraction_face_GE
- An automatic facial feature extraction method is presented in this paper. The method is based on the edge density distribution of the image. In the preprocessing stage a face is approximated to an ellipse, and genetic algorithm is applied
AAM
- Facial Feature Extraction matlab code
finalfacialExpression
- Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.
ReadFaces
- 基于PCA的人脸特征抽取，首先将200幅人脸图像转换成向量形式，进而进行组成样本矩阵。-The PCA-based facial feature extraction, first 200 face images into a vector format, then the composition of the sample matrix.
gabor1
- 图像处理：gabor小波变换程序，用于对图像进行处理，在国外网站下的，已调成功，非常好的一个程序。-Image Processing: KFDA procedures for facial feature extraction, a procedure useful
mytest
- 根据所给出的人脸面部特征预测下一幅人脸图形的BP神经网络-According to the given facial feature to predict the next one face of the BP neural network graphics
Chen_Face_Detection_and_Alteration
- Facial Feature Addition and Alteration
1234
- 人脸的面部特征提取，有很好的效果，直接解压就可以使用-Face facial feature extraction, have very good effect, direct decompression can use
DAFLibrary_1_02
- 人脸特征点的检测，姿态估计，对人脸特征点的跟踪很实用-Facial feature points detection，pose estimate，It s useful for face tracking.
Face-orientation-recognition
- 本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。 本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。 -This study is the following steps: first extract facial feature vector generate training and testing
Face-orientation-recognition
- LVQ即学习向量量化神经网络是一种用于训练竞争层的有监督学习方法神经网络，在模式识别和优化领域有着广泛的应用。本课题要求使用LVQ神经网络训练人脸的特征数据，得到模型对任一人脸图像的朝向进行识别。-Learning Vector Quantization LVQ neural network that is used to train competitive layer neural network supervised learning methods in the field of patt
svd
- 采用SVD方法进行人脸特征提取，效果非常的不错，放心下载-SVD method using facial feature extraction, the effect is very good, rest assured Download
Tracking
- edited the face tracking example using klt to use my facial feature points The original inbuilt example that comes with matlab can edited usin
manface-feature-extraction--examples
- 本例子中有40人脸库，详尽的人脸特征提取例子，大家可以参考学习。-This example has 40 face , detailed facial feature extraction example, we can refer to learn.
facial--expression
- 这个是面部表情自动识别的源代码。它是基于Viola和Jones的面部检测算法和Gabor面部特征点的提取，然后使用训练过的神经网络来识别人脸表情。-This is the automatic recognition of facial expression source code. It is Viola and Jones face detection algorithms and Gabor facial feature point extraction, and then use the