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Face-recognition
- 本文针对人脸图像的特点,选取一组Gabor 小波核,并用这组Gabor 小波核对人脸图像进行Gabor 小波变换,提取人脸 图像的有效信息。在此基础上,用2DPCA 对Gabor 小波提取的 数据矩阵进行降维,最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav
PCA_face
- 简单的PCA(主元分析)人脸识别程序,通过降维来减少计算量-PCA face recognition
Laplacian_Smoothing_Transform
- 关于人脸识别中,拉普拉斯特征映射降维处理的源代码-On face recognition, feature mapping Laplace source code dealing with dimensionality reduction
train
- 该函数的内容包括读入人脸数据、PCA降维,数据规格化以及训练多类SVM等功能。-This function covers the face read data, PCA dimensionality reduction, data normalization and multi-class SVM training and other functions.
adaSSR
- 人脸识别,自适应SSR光照处理方法,并包含PCA降维算法-face recognition, adaSSR, pca
SR
- 谱回归方法,可以对异质图像同时进行降维,在人脸识别中可以提高室内外识别性能-heterogeneous,face recognition,Indoor,OutDoor
reduce-dimention-of-face-recognition
- 在人脸识别中的降维问题,应用PCA和SVD等方法来分析和解决-Dimensionality reduction in face recognition problems, the application of methods such as PCA and SVD to analyze and solve
BoostingLbp
- 基于LBP的人脸检测,其中PCA用来降维,LBP用于提取纹理特征-PCA used for dimensional reduction, LBP used to extract the texture characteristics
06102001
- 机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!-" -Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, o
yunxing
- PCA+KNN人脸分类,对于给定样本,训练其中的一部分,在pca降维后,用knn分类-PCA+KNNFace classification
PCAPLDA
- 这是一个很好的人脸识别的程序,首先用PCA降维,然后用LDA方法进行分类,用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
LDA_ORL
- 如何使用matlab读取ORL图像,400张人脸,每类10张,一共40个类.并用LDA进行降维-how to use matlab to read ORL face images,400 face images of 40 people, 10 images per person. Then use LDA to reduce dimensionality
DDDCCT_PCAi
- 离散余弦变换,然后主成分分析进行数据降维,用于于模式识别,如人脸识别,掌纹,表情,指纹等识别。 -Discrete cosine transform, and then principal component analysis for data dimensionality reduction ffor pattern recognition, such as face recognition, palmprint, face, fingerprint and other identific
dimensionality-reduction-methods
- 有关人脸识别降维方法的几篇较新的文献Several newer literature related to face recognition dimensionality reduction methods-Several newer literature related to face recognition dimensionality reduction methods
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
2D-LDA
- LDA是一种线性降维方法,对原有的高维人脸数据集降维,然后识别,具有很好的聚类和识别效果。有详细的说明-LDA is a linear dimensionality reduction method, the original high-dimensional face data set dimensionality reduction, and then identify clustering and identification. Described in detail
Jonathan-Huangpca-pca-jiang-wei
- 人脸特征提取LDA特征,Jonathan Huang大师编的降维。-Facial feature extraction LDA dimensionality reduction of features, master series.
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
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.!
Face-recognition-based-on-PCA
- 基于vc++6.0和opencv1.0的单样本人脸识别。用了PCA和2DPCA降维,效果不错。附带样本-Face recognition based on the vc++6.0, and opencv1.0 single sample. With the PCA and 2DPCA dimensionality reduction, good results. Comes with sample