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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!
gdfhgdfhgd
- feret人脸图象数据库处理代码，与大家共享-feret facial image database handling code, and share
EAR
- 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术，与其它生物特征识别技术比较具有以下几个特点：（1）与人脸识别方法比较，耳识别方法不受面部表情、化妆品和胡须变化的影响，同时保留了面部识别图象采集方便的优点，与人脸相比，整个人耳的颜色更加一致、图像尺寸更小，数据处理量也更小。（2）与指纹识别方法比较，耳图象的获取是一种被动方式，即通过非接触方式获取耳图像，不存在通过接触传染疾病的机会，因此，其信息获取方式具有容易被人接受的优点。（3）与虹膜识别方法比较，首先，由于人脸和头发的存在，需
基于数据挖掘的语音驱动三维人脸动画合成
- 三维人脸动画的合成：利用数据挖掘和语音驱动（解决了语音和动画的同步）-3D Facial Animation Synthesis : Using Data Mining and voice-driven (to solve the voice and animation simultaneously)
人脸特征定位
- 人脸特征定位，实现人脸相似度计算，二值化，边缘提取。解压密码：123-positioning facial features, facial similarity to achieve, the two values, edge extraction. Extracting Password : 123
src
- 用神经网络来进行人脸识别的程序，对脸部的表情进行识别，如高兴，伤心等-Using neural networks for face recognition program, to identify facial expressions such as happy, sad, etc.
facedetection
- 使用Gabor滤波器和神经网络的面部识别源代码-Using Gabor filters and neural network facial recognition source code
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,
STLBP_VC
- Running this funciton each time to compute the LBP-TOP distribution of one video sequence. Reference: Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions,"
FisherFaces
- FisherFace, an algorithm based on PCA and LDA
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
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
net
- 用c写的BP神经网络人脸识别，可以识别姿势，表情，是否带太阳镜。gcc下执行通过，其中含有说明文件，注意编译和执行时放好文件夹的路径-C write with the BP neural network face recognition, can recognize gestures, facial expressions, whether with sunglasses. performed by gcc, which contains documentation, pay attention
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
FaceTrainPose
- 本代码为机器学习中表情识别算法的实现运用了神经网络方法训练学习模型从而达到表情识别的目的-The code for the machine learning facial expression recognition algorithm, the use of neural networks, the training model of learning so as to achieve the purpose of expression recognition
tpami13lld
- PATTERN ANALYSIS AND MACHINE INTELLIGENCE(模式识别和机器学习的经典期刊)上对于Facial Age Estimation by Learning from Label Distributions的详尽描述。附有文章原文及相关代码。-For a detailed descr iption of Facial Age Estimation by Learning from Label Distributions of (pattern recognition
Adaboost_Std_full
- 基于AdaBoost的面部图像男女性别的识别过程。深入的对算法进行了解。-Based on AdaBoost sexes in facial image recognition process. An in-depth understanding of algorithm.
JDA-master
- 人脸特征点定位，将人脸检测与人脸对齐相结合-Facial feature points, will face detection and face alignment combined
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