搜索资源列表
2D-LDA
- 2维线性判别进行人脸识别的程序，很不错！采用ORL人脸库，取每人的1、3、5、7、9五幅图像作为训练图像，其余作为测试图像，进行二维线性判别。计算出特征向量矩阵，降序排列后，取前d（d=2,4,6，……，20）个特征向量组成的矩阵作为变换矩阵，对训练集合测试集进行特征重建，最后采用最近邻分类器。附有实验的结果。-code for face recognition based 2D-LDA，the performance is nice！
lda
- lda 源码。用来为数据降维，使得识别率有所提高。-lda source code. Is used for data dimensionality reduction, making the recognition rate increased.
regularized-lda
- 正则化LDA，最新！对于图像降维与图像识别的研究有很重要的研究意义-Regularized LDA, the latest! Dimension reduction for images and image recognition of a very important research significance
fisher
- 利用pca和LDA对人脸的图像先进行降维再辨别分析来实现人脸识别-Pca and LDA using the images of human faces to reduce the dimensions first and then discriminant analysis to achieve recognition
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.
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.
tensorflow-knn-双向LDA
- 基于LDA的人脸降维，精度比二维LDA的要高，有一定的运用价值。(orl tensorflow LDA PCA)