搜索资源列表
FaceRec_part1
- 本人收集的人脸识别最新资料，从08年到09年，包含各种人脸识别的优秀算法，PCA,HMM,2DPCA,KDDA,一共20个文件，需要安装CAJ阅读器阅读，是不可多的学习和研究的参考资料（不是源码，算法详细）-I gather the latest information for face recognition, from 2008 to 2009, contains an excellent variety of face recognition algorithms, PCA, HMM, 2
DDpca
- 2dpca源代码，用于人脸识别，直接作用于矩阵提取特征。-2dpca the source code for face recognition, feature extraction directly on the matrix.
2dpca
- 基于改进二维主成分分析的在线掌纹识别 能有效的识别掌纹信息-Can effectively identify palmprint information Two-dimensional principal component analysis based on improved on-line palmprint identification
L1normbased2dpCA
- IEEE2010 人脸识别文章 L1_norm based 2dpCA-IEEE2010 Face article L1_norm based 2dpCA
2DPCAandSVM
- 介绍了基于2DPCA和SVM支持向量机的方法来进行人脸识别-2DPCA and introduced based on support vector machine SVM method for face recognition
2DPCA
- 基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试-Two-dimensional Principal Component Analysis for Face Recogntion.
Face_Recognition_Based_on_PCA_Comparative_Study.ra
- 主成成份分析( PCA) 方法是人脸识别技术中常用的一种一维特征抽取方法。传统PCA 方法用于人脸识别常常面临图像维数高,直接计算量的问题。为了解决这2 个问题,人们对PCA 进行了改进,提出并实现了多种基于PCA 的人脸识别。对3 种基于PCA 的人脸识别方法做了理论上的研究和实验上的性能比较。实验结果表明PCA + 2DPCA 是其中综合效果最好的一种方法。-Principal component analysis into (PCA) is a commonly used face rec
2DPCA
- 二维主成分分析方法在人脸识别中的研究，MATLAB开发环境开发-Two-dimensional PCA methods for face recognition research, MATLAB development environment, development
TDPCA
- 2DPCA的算法 2DPCA的算法 -2DPCA
2dpca
- Two dimensional principle component Analysis...applied for face images-Two dimensional principle component Analysis...applied for face images..!!
ear
- 2Dpca针对人耳库进行训练和测试，实测可以运行，准确率较高-2Dpca library for the human ear training and testing, the measured run, high accuracy
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
2dpca
- 本代码实现了利用2dpca算法对图标进行识别分类-This code realization of 2 the algorithm of dpca icon recognition classification
2DPCA
- 用2DPCA算法通过识别东海海藻散射光谱数据来鉴别海藻藻种类别。-2DPCA algorithm by identifying the East China Sea seaweed scattering spectroscopy data to identify the algae algae species category.
2dpca
- matlab实现了2DPCA算法，用时较PCA方法少，识别率有所提高。-2DPCA algorithm matlab realized with a time less than the PCA method, the recognition rate improved.
2DPCA
- 2DPCA,即二维主成分分析，相对于传统的PCA（主成分分析），2DPCA在对二维图像进行降维时不需要转成一维（向量）-2DPCA, ie two-dimensional principal component analysis, as opposed to the traditional PCA (Principal Component Analysis), 2DPCA in dimensionality reduction of two-dimensional images into one
2DPCA
- 主要介绍了 2DPCA的思想-Introduces the idea of 2DPCA
2DPCA
- 基于列方向的2DPCA方法，可以实现改进2DPCA的方法-2 dpca method based on the column direction, can achieve improved 2 dpca method
2dpca
- 对人脸进行2DPCA提取特征并降维,提高人脸识别率-On people s faces 2D PCA feature extraction and dimensionality reduction, improve face recognition rate
PCA
- Matlab 平台使用2DPCA对二维图像数据进行降低图片的维度。提高图像处理速度。(The Matlab platform uses 2DPCA to reduce the dimension of the image data for two-dimensional image data. Improve the speed of image processing.)