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2dpca
- 基于二维PCA对人脸进行识别，对图像有很好的降维作用，且识别率比pca好-PCA based on two-dimensional human face recognition, the image is very good landing peacekeeping role, and the recognition rate better than pca
介绍2dpca进行人脸检测
- 介绍2dpca进行人脸检测，包括其基本原理。
2dpca的matlab源代码
- 2dpca的matlab源代码 3 有关于人脸识别或车辆检测-2dpca matlab source code 3 on face recognition or vehicle inspection
经典的人脸识别算法
- 经典的人脸识别算法：2Dpca的实现，matlab实现环境。,Classical face recognition algorithms: 2Dpca the realization
2DDPCA
- 人脸识别用双向2DPCA方法写得人脸识别代码，基于ORL的，自己写的，可运行，网上没有，分享给大家学习。-Face recognition using two-way code is written 2DPCA method, based on ORL, and his writing, can run, on-line did not, share with them to learn.
rljc2dpca
- 人脸检测中所需要的2dpca程序 在人脸识别中需要的一个环节-Face Detection in the required procedures in the face recognition 2dpca need a link
PCA2D
- 人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
faceRecognition
- 基于2D-DCT和模块2DPCA的人脸识别系统的实现（matlab）-Based on the 2D-DCT and modules 2DPCA Face Recognition System (matlab)
pca2D
- 2DPCA用于人脸、步态等图像识别，可先按照行列比例将不规整图像归一化处理，然后进行训练，并且识别，全部中文注释和提示，便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition
Towdpca
- 2DPCA的MATLAB程序，毕设用的，不像国外有些编的那么大，便于理解，非常实用，保证正确，适合初学者。-2DPCA the MATLAB program, completed the set up used, unlike some foreign series such a big, easy to understand, very practical, and ensure the correct, suitable for beginners.
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
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
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
- 这是两维2DPCA方法的人脸识别，分享给大家，ORL人脸库的。-This is the method of two-dimensional face recognition 2DPCA to share to you, ORL face database.
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
2DPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用2DPCA方法完成人脸检测实验。-Standards in the ORL face database or Yale to complete the pattern recognition task. Complete with face detection method 2DPCA experiment.
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
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.)
2DPCA
- 基于ORL人脸库的2DPCA图像识别与人脸重建代码，采用最近邻域进行分类(2DPCA image recognition and face reconstruction code based on ORL face ,using the nearest neighbor classification.)