搜索资源列表
DCT
- 先用小波变换进行降维后,再用DCT进行特征提取,然后用SVM分类识别,SVM需先安用libsvm工具箱,然后再可以运行,该程序包含ROL人脸库,一并上传。-First reduce the dimension of the wavelet transform, the then DCT feature extraction, and then use SVM classification, SVM must be safe to use libsvm toolbox, and then you
flda
- fisher线性鉴别分析的人脸识别,在ORL库上实验,可在其他库上运行-fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database
MDIP
- 基于UMIST人脸数据库的MDIP算法源码,包括相应源代码及所用的人脸库。 -Based on the UMIST face database MDIP algorithm source code, including the corresponding source code and libraries used by the human face.
HMMDemo
- 基于Opencv和Visual C++技术,编程实现的人脸识别系统,可以实现人脸的自动识别,在ORL人脸库中取得了98 的识别率-Based on Opencv and Visual C++ technology, programming of the face recognition system that can realize the automatic face recognition, in the ORL face database has achieved 98 recognit
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
IamSeg
- 基于形态学商图像的光照归一化算法.复杂光照条件下的人脸/P,~J1是一个困难但需迫切解决的问题,为此提出了一种有效的光照归一化算法. 该方法根据面部光照特点,基于数学形态学和商图像技术对各种光照条件下的人脸图像进行归一化处理,并且将它 发展到动态地估计光照强度,进一步增强消除光照和保留特征的效果.与传统的技术相比,该方法无须训练数据集以 及假定光源位置,并且每人只需一幅注册图像,在耶鲁人脸图像库B上的测试表明,该算法以较小的计算代价取得了 优良的识别性能.-Face recogn
FaceRec
- 基于matlab2008的人脸识别系统,使用了PCA +Adaboost与PCA+SVM分别实现了人脸识别,使用了orl人脸库,给一个人的图片就可以识别此人身份,识别率高达84 -Matlab2008 face recognition system based on use of the PCA + Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database
att_faces
- att人脸库,用于人脸识别,数字图像处理,希望有用-att face database for face recognition, digital image processing, hope helpful
adaboostm1code
- 这是一篇关于adaboost.m1算法的人脸识别源码,识别率挺高的,读入任意人脸库即可运行,已经过测试-This is a source code of face recognition algorithm on adaboost.m1 .code has been tested ,you can read face database to run
FERET
- 用于人脸识别的、完整的、FERET人脸数据库-FERET face database
yaleB01_P00.tar
- 人脸识别图片,找了很久才找到的,希望对大家有用-face database
yaleB01_P01.tar
- 人脸识别灰度图库,我想对做人脸识别的朋友会有帮助-face database
pca2D
- 一个基于pca2D的人脸识别分类程序, 并包含完整的FACE-ORL人脸库,很具有研究和学习价值-Pca2D based on face recognition classification procedures, and includes the complete FACE-ORL face database, it is with research and learning the value of
yaleface
- 人脸识别matlab程序,yale人脸库上实现,三阶近邻法-Face recognition matlab process, yale face database on the realization of third-order neighbors method
HumanFacePCA(Matlab)
- 线性判别方法,人脸数据库上的PCA程序,基于Matlab,供学习参考-Linear discriminant method, human face database of PCA procedures, based on Matlab, for study and reference
HumanFaceLDA(Matlab)
- 线性判别方法,人脸数据库上的LDA程序,基于Matlab,供学习使用-Linear discriminant method, human face database of LDA procedures, based on Matlab, for learning to use
face_recognition
- 基于PCA(pricipal component analysis)算法的人脸识别程序,用matlab编写,使用前需载入人脸库-Based on the PCA (pricipal component analysis) algorithm for face recognition process, using matlab to prepare, use before loading face database
ORLface
- 这是用于人脸识别的经典人脸库,人脸识别的实验和验证都是在这些基础库上完成的,它是ORL人脸库,包含不同人脸的各种姿态,对做实验极为有用-This is a classic for Face Recognition Face database, face recognition and verification experiments are those at the finish on the basis of the Treasury, it is the ORL face database
sw1
- 从大量的正侧面脸部照片采集着手构建了正、侧面脸部信息的人脸库,依据人体测量学、人体解剖学等脸部关键特征的原则定义了脸部测量点及测量项目。基于建立的人脸数据库中测量点定义模型的正侧面特征点,采用径向基函数插值的方法对模型进行调整,生成特定人脸模型。-From the side of the face is a lot of photos to build a collection is started, the side face of the face database of informati
PCA
- PCA 主成分分析在人脸识别中的应用 基于主成分分析理论对不同人脸库进行学习 总结“经验”并将“经验”用于对人脸的识别中-PCA Principal Component Analysis for Face Recognition Based on principal component analysis theory of different learning face database summary of " experience" and " experience