搜索资源列表
Gabor-fdp5final
- 人脸检测的代码，很强大！ ！Face Detection System基于Gabor特征提取和人工智能的人脸检测系统源代码fdp5final-Face detection code, it is powerful! ! Face Detection System Based on Gabor feature extraction and artificial intelligence face detection system source code fdp5final
pca
- PCA主成分分析，用于人脸识别，特征提取等-PCA principal component analysis for face recognition, feature extraction, etc.
facerecognition
- 关于人脸识别方面的博士论文，包括人脸检测，特征提取，人脸识别等内容-face recognition paper
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
KPCA_SVM_Train
- 用于图像特征提取的研究，主要应用于人脸识别等领域-KPCA_SVM
Face_detection
- 基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
pca
- pca 特征提取的源代码，对人脸识别很有帮助，-pca feature extraction of the source code, useful for face recognition,
ar_dct_lda
- AR人脸库进行DCT变换，然后使用Fisher discriminant analysis 进行特征提取，使用cos分类器进行人脸分类。-AR Face Database for DCT transform, and then use the Fisher discriminant analysis feature extraction, using cos classifier for human face classification.
lda
- lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。-lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
wavepp
- 利用小波进行一级特征提取，在此基础上采用2dpca进行二级特征提取，用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
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
faceppDemotransfer
- 能够实现人脸特征提取。基于android6.0(It can realize facial feature extraction. Based on android6.0.)
facerecexplanation
- 采用传统的方法提取脸部特征以进行人脸识别(Traditional methods are used to extract facial features for face recognition)
人脸识别
- 利用pca和ICA进行特征提取实现人脸识别(Face recognition is realized by feature extraction using PCA and ICA)
LPP程序
- MATLAB编写的人脸特征提取代码，叫局部保持投影特征提取算法，可以作为人脸识别系统一部分(MATLAB prepared by the facial feature extraction code, called the local projection feature extraction algorithm can be used as part of the face recognition system,feature exaction.)
LogGabfilter
- 这是loggabor的核心代码，主要实现的是对人脸的特征提取。(This is the core loggabor code, the main achievement is the extraction of the face of the feature.)
Gabor Wavelet Feature Extraction
- Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)
基于ASM和K近邻算法的人脸脸型分类_张倩
- 针对人脸特征分类问题，提出一种基于主动形状模型(ASM)和 K 近邻算法的人脸脸型分类方法。将 Hausdorff 距离作为 K 近邻算法的距离函数，利用 ASM 算法提取待测图像的特征点，对点集进行归一化后计算人脸轮廓特征点与样本库中所有样本点集的 Hausdorff距离，根据该距离值，通过 K 近邻算法实现待测图像的脸型分类。实验结果证明，该方法分类正确率高、速度快、易于实现。(Aiming at the problem of face feature classification, thi
人脸识别完整程序
- 人脸识别完整程序，包含人脸检测与定位，特征提取与人脸识别环节(Face recognition complete program, including face detection and localization, feature extraction and face recognition.)