搜索资源列表
libsvm-2.81.tar
- 模式识别中的支撑向量机,可用于人脸识别训练!-pattern recognition of Support Vector Machines can be used for face recognition training!
image-textual-analysis
- 计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classificat
faceRegnize
- 人脸识别的matlab程序，先训练后测试，输入一副图像后将输出最接近的几副人脸。-procedures and training tests after an input image output for the nearest deputy Face.
grimace
- 一个老外文章中用到的人脸数据库，包含多种肤色的人脸，可供做人脸识别的人员进行训练和测试用！-a foreigner article used the face database, a mixture of color face, Face recognition for the staff to do the training and testing with!
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
face_sketch_synthesis
- 该软件为进行人脸素描图合成的软件，用visual c++编写，在Visual Studio 2012下运行，输入人脸原始图像合成成人脸素描图像。该文件包含人脸图像库，包括88幅原始训练图像和素描图像，直接打开项目文件直接运行。(The software is a software for facial sketch synthesis. It is written in visual c++, runs on Visual Studio 2012, and input original face
FaceRecTest1
- 人脸识别训练加识别测试程序，采用Opencv开源库(Face recognition training and recognition test program)
lifeface
- 使用了于仕琪老师训练的分类器，使用vs2013-64位平台，图片需从配置管理器调试中手动输入(Using the classifier of teacher Yu Shiqi training, using the vs2013-64 bit platform, the picture needs to be manually entered from the configuration manager debug.)
lbpcascade_animeface-master
- 利用opencv资源库里自带的lbpcascade_animeface.xml，对普通人脸进行识别，如果有数据库的话，也可以自己训练学习，提取人脸特征，进行学习(We use the lbpcascade_animeface.xml in opencv repository to recognize normal faces. If there are databases, we can also train ourselves to learn, extract facial features
ViolaJones_version0b_bin
- 用adaboost对人脸检测，利用haar特征对积分图像进行训练，得到强弱分类器(Face detection is done by AdaBoost, and integral image is trained by Haar feature, and the strong and weak classifier is obtained.)
Data
- 人脸识别图像集，用于人脸识别与分类，40类别，每类别5张，分训练和测试样本。(Face recognition image set is used for face recognition and classification. 40 categories, 5 for each category, are divided into training and testing samples.)
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
BP神经网络
- 第一个m文件：构造、训练BP神经网络并计算其识别率；第二个文件将进行人脸检测。注意：orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
people faces
- 用卷积神经网络（CNN）实现人脸识别，效果还可以，一个是training的程序，可以训练网络。一个是use程序，可以识别人脸(Using convolution neural network (CNN) to achieve face recognition, the effect is also available, one is the training program, can train the network. One is a use program that recognizes
300
- 基于opencv的简易人脸识别系统，完成了拍摄，训练模型，识别自己的脸的功能(A simple face recognition system based on OpenCV has completed the shooting, training model, and recognizes the function of the face.)
基于脸部动态特征的人脸表情识别程序
- 通过训练jaffe数据库，实现识别人脸高兴、惊讶、恐惧、生气等六种表情，并圈出。可调用电脑摄像头实时监测。内附有使用说明，可以使用。仅供学习参考。(Through training Jaffe database, six kinds of facial expressions, such as happiness, surprise, fear and anger, are recognized and circled. Real-time monitoring with a computer
shape_predictor_81_face_landmarks-master
- 基于dlib库的人脸68个特征点训练模型的扩展模型，可识别出人脸81个特征点，包括额头部分。(Based on the extended model of the face training model of 68 feature points based on Dlib database, 81 feature points can be recognized, including the forehead part.)
特征脸法人脸识别matlab代码
- 包括训练数据库，matlab导入图片，特征连算法代码，并成功识别人脸，是基本的算法
基于PCA的人脸识别
- 使用PCA算法对人脸图像进行处理，使用adaboost算法训练分类器，对训练集中的20个人每人五张照片进行训练，对测试集中的同样多的照片进行识别，可以得到很高的识别率
CNN-FaceRec-keras-master.zip
- 人脸识别代码 ## CNN-FaceRec 基于Keras的CNN人脸识别 == ### 所需环境 tensorflow-gpu==2.0.0 Keras==2.3.1 h5py==2.10.0 ### 使用方法 #### 文件下载 链接：https://pan.baidu.com/s/1HxLw4oYGhfV-hughUQ7VEA 提取码：9uea 下载好权重文件放到logs文件夹里 链接：https://pan.baidu.com/s/1aC