搜索资源列表
LDA_matlab
- 能运行,能实现人脸识别的分类,我试过了,很好用-can occupy face recognition and classify
chengxu
- 这是基于PCA的人脸识别,用MATLAB编写,包含了K-L变换,奇异值分解等方法,且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
face
- 完整的表情识别系统一般包括人脸表情图像捕获、预处理、人脸检测与定位、 人脸分割与归一化、人脸表情特征提取、人脸表情识别。本文着重研究了人脸表 情特征提取、特征选择及表情分类等关键问题,并提出了一些改进的方法,同时 进行了仿真实验-Complete expression recognition systems typically include facial expression image capture, preprocessing, face detection and loca
lliuxingxuexijiangweisuanfa
- 附件中包含各种各样的线性流形学习的降维算法(LPP,PCA,NPE。。。。),用于人脸识别,分类等等!-The annex contains a variety of linear manifold learning, dimensionality reduction algorithms (LPP, PCA, NPE....), For face recognition, classification, etc.!
FaceDetect
- 这是一个人脸检测程序,里面有分类器的说明,运行结果还可以。-This is a face detection program, there is a descr iption of the classifier, the results can also be run.
wavelet-transform-using-knn
- 基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
myfacedet02
- matlab代码程序,利用Adaboost算法训练人脸图像和非人脸图像,通过迭代得到由多个弱分类器组合而成的强分类器,实现图片里的人脸检测。-Matlab code,Using Adaboost algorithm to train the face images and not face images, obtained strong classifier which is conprised of multiple weak classifiers by iteration , re
Untitled_1
- 人脸识别算法分类 基于人脸特征点的识别算法(Feature-based recognition algorithms)。 基于整幅人脸图像的识别算法(Appearance-based recognition algorithms)。 基于模板的识别算法(Template-based recognition algorithms)。 利用神经网络进行识别的算法(Recognition algorithms using neural network)。 基于光照估计模型理论
HaarPclassifiers
- 利用vs2008编写的利用haar特征分类器实现的人脸检测程序-Use vs2008 prepared by the use haar feature classifier implemented face detection process
MFA
- 自己写的MFA降维算法。此算法中先进行pCA处理原始数据,然后对处理后数据运用MFA,可用于人脸识别及其它分类问题。很好用。-Write your own MFA dimensionality reduction algorithm. This algorithm first performed pCA processing raw data, processed data and then use MFA, can be used for face recognition and other
detect
- 用adaboost分类器实现人脸检测的小程序-With adaboost classifier for face detection applet
svm
- 支持向量机算法,可很好的用于分类问题,广发用于人脸识别,步态识别中!-Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!
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
face-detection
- HOG+SVM人脸识别演示程序 使用梯度直方图特征与SVM分类器-face detection demo program using HOG SVM
haarcascades
- 基于OpenCV harr级联分类器的人脸及眼睛、鼻子、嘴巴(Opencv_haar classifier)
min——Classifier_dist_f
- 最小距离分类器,可以用于做对比算法,人脸识别中经常用(The minimum distance classifier can be used for comparison algorithms)
B2DPCA和ELM人脸识别算法研究_李定珍
- 提出一种新型、高效的基于 B2DPCA(双向二维主成分分析)和 ELM(极端学习机)的人脸识别算法, 该算法是根据曲波变换分解人脸图像和一种改进的降维技术,通 过 B2DPCA 生成识别特征集来训练和测试 ELM 分类器,提高识别精度。通过大量实验,并把实验结果与现存技术进行比较,结果表明 B2DPCA+ELM 算法有效地提高了识别准确率,并降低了对原型数量的依赖。将来有望能把局部特征和基于曲波分解的全 局信息结合起来应用到识别精度和分类速度上。(a new human recognit
单样本人脸识别
- 利用KNN分类器在FERET人脸库上进行单样本人脸识别(Single sample face recognition on FERET face database using KNN classifier)
89123030face_recognition_adaBoost_M2
- 有级联分类器和haar特征和积分图,内部有matlab程序,适合初学者使用(There are cascading classifiers and Haar features and integral graphs, with MATLAB programs inside, suitable for beginners to use)
程序
- 模式识别,基于adaboost的人脸检测的相关程序(Pattern recognition, face detection program)