搜索资源列表
Chapter8_FaceRecognition
- 基于opencv库的人脸识别程序，需要cmake2.2 以及opencv2.4.4以上才能运行-Opencv library based face recognition program, you need to run more than cmake2.2 and opencv2.4.4
eigface
- 基于ORL人脸库，PCA人脸识别构建特征脸源程序-Based on the ORL face database, PCA eigenface face recognition source code to build
PCAFaceRec.m
- 用ORL人脸库实现的基于PCA的人脸识别系统源代码，调试过，可用。-ORL face database using realize PCA-based face recognition system source code, debugging, and can be used.
PCAFaceRec
- 基于ORL人脸库的人脸识别源程序，识别率88％。-Based on the ORL face database for face recognition source code, the recognition rate of 88.
Reconstruct
- 基于ORL人脸库 PCA人脸识别的人脸重建-Based on the ORL face database PCA Face Recognition Face reconstruction
lda
- 利用matlab实验人脸识别。从图像库中识别出相同人脸。主要运用LDA-Face recognition using matlab experiment. Identified from the image library same faces. The main use of LDA
pca1
- 用PCA的方法对不同的人脸库进行人脸识别。-PCA method with different face database for face recognition.
chapter13
- pca,svm人脸识别,有训练，识别，和orl人脸库-pca,svm source code, can detect human faces
face
- 人脸识别算法。通过opencv实现，采用opencv类库-Face recognition algorithms. Opencv achieved by using opencv library
PCA
- 用OPENCV实现了人脸识别系统，采用ORL人脸库进行测试，选择每个身份前5张做训练图，一共200个训练样本。-OPENCV achieved using face recognition system that uses the ORL testing, each identity before choosing to do training Figure 5, a total of 200 training samples.
HMMDemo
- 基于HMM算法实现人脸识别，利用opencv开源视觉库来实现人脸识别-Face recognition algorithm based on HMM
FACE_RECOGNIZE
- 基于PCA的CVI人脸识别程序，实现人脸的切割与ORL图像库人脸的识别-Face recognition based on PCA CVI program, achieve cutting and ORL face image database of face
PCA_based-Face-Recognition-System
- 基于主成分分析的人脸识别，压缩包中包括完整的源程序以及所用的图像库。-Face recognition based on principal component analysis, compression package includes full source code and image library used.
PCA
- 基于PCA的人脸识别matlab程序，含orl人脸库。-PCA-based face recognition matlab program, including orl face database.
PCA
- 基于PAC算法的人脸识别程序，附人脸训练库和说明-Face recognition algorithm based PAC program, with a human face training library and instructions
OLSDA
- 人脸识别OLSDA算法关键代码，包含ORL人脸库，可直接在MATLAB上运行。-Face recognition algorithms OLSDA key code, including ORL face database, you can run directly on MATLAB.
PCAORLs
- 基于pca的人脸识别准确率。使用的是orl人脸库，已包含在内-Face recognition based on the accuracy of pca. Using orl face database has included
ransac
- 人脸识别工具，基于QT平台，利用alglib库神经网络技术，实现人脸识别功能-Face recognition tool, based on QT platform, using alglib library neural network technology, face recognition function
createFaceEignDatabase
- 利用一个小样本人脸样本库创建数据库ar_test.mat中的训练样本数据和待测样本数据将生产的数据库文件.mat利用FDDL程序进行测试，分类；在程序最后先利用最短距离测试提取特征的效果本文利用SVD分解，并提取了每一幅图像的前3列特征向量（前三个主成分），共计3*200个特征向量，构成一个训练样本列元素最后的简单分类测试效果在90 ，区分度较好，能够适用于其他分类器实验..后续中，选取了第一主成分，发现识别率达到100 ；选取了前33个，反而低于了90 ，不知如何解释？-Using a sma
MIT_face_library
- 人脸识别所需人脸库，包括2706个人脸和4381个非人脸-Face recognition required libraries, including 2706 individuals and 4381 non-face face