搜索资源列表
facedetection
- 人脸检测，经典的运用harr特征，分类器，opencv-face detection
MatlabPCA
- 这是一个Matlab编写的基于PCA的人脸识别分类算法，对FERET数据库进行了分类。-This is a Matlab prepared by the PCA based face recognition algorithm, the FERET database are classified.
face-recgnition
- 利用OpenCV进行人脸检测，人脸检测程序主要完成3部分功能，即加载分类器、加载待检测图象以及检测并标示。-OpenCV for face detection, face detection process was completed for the three parts, namely load classifier, load to be detected images and testing and labeling.
GGabbor_2dpcca
- Gabor小波提取特征源码，支持向量量机作分类器，能用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used to palmprint, face, fingerprint identification.
Face-recognition-method
- 基于PCA 和BP 神经网络的人脸识别方法是针对 PCA 方法中存在的高维数问题和它对未训 练过的样本识别率低的缺点而提出的。该方法在预处理的基础上，利用粗糙集对 PCA 降维处理后的人脸特征进行约简，提取其中分类能力强的特征，实现在识别精度不变的情况下，有效的去除冗余信息；然后将约简后的属性输入到神经网络进行规则提取，利用神经网络非线性映射和并行处理的特点，增强对人脸图像识别的泛化能力。实验证明，使用该方法在识别率上有一定的提高-Face recognition method based
FaceDetection
- FaceDetection是一个静态人脸检测程序，注意FaceDetection需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV，此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml，该文件在OpenCV中提供，请读者将该文件复制到程序同一目录下，程序即可正确运行。-Is a static face detection program FaceDetection Note FaceDetection need OpenCV li
Attrain_v2d
- 一个基于adaboost的人脸检测分类器训练程序，用MMATLAB写的，希望能和大家分享，已通过测试。 -Based on the human face detection adaboost classifier training procedures, written in MMATLAB, and we hope to share, has been tested.
FaceRec
- 人脸识别系统 PCA降维， SVM 分类， 40*10人脸数据库 对机器视觉 智能识别有帮助 -face recognition
lbptest
- lbp算子的计算，可用于纹理特征，人脸识别等模式分类用途-The lbp operator calculation can be used for the texture features, face recognition, pattern classification purposes
PCA_SVM
- 采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
1
- SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
face-recognition-based-on-pca
- 基于主成分分析的人脸识别，用主成分分析提前特征，用模版匹配进行分类-face recognition based on PCA
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.!
LSubbspace_LLi
- 线性鉴别技术是一种较好的分类技术，本程序源码使用了一种基于PPCA与LCA的人脸识别方法使人脸识别效率的到提高 可直接使用。 -Linear identification techniques is a better classification technology, the program source code using a face recognition method based on the PPCA and the LCA recognition efficiency to
fhmm1
- 基于HMM和SVM分类器的人脸识别系统，非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
front
- 一个用于人脸检测的分类器，对正面人脸具备较好的检测效果-A classifier for face detection have better detection results on the frontal face
PCA_based-Face-Recognition-System
- 模糊支持向量机做分类数据集——人脸识别,数据来源UCI，用于模式识别做分类- PCA_based Face Recognition System dataset
saaddaboosto
- adaboost分类器源代码addaboost人脸检测matlab算法 -the adaboost classifier source code addaboost face detection matlab algorithm
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.
face_2DPCA
- 用2DPCA提取人脸特征，然后用支持向量机分类识别。效果不错。-With 2 DPCA face feature extraction, and then by support vector machines (SVM) classification and recognition. The result is right.