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project_test1.m
- 一个清华大学使用的人脸检测程序,可以识别人脸所在位置并进行标注,其中的人脸库可以替换为其他的人脸库-Face detection process uses a Tsinghua University, can recognize faces and location tagging, face which can be replaced with other people face
asmlib-opencv-master
- 图形图像识别根据人脸的特征库来进行人脸边缘轮廓的识别和特征部位的识别-this is a program,it can detect face by face s db
fisher
- Fisher线性鉴别分析已成为特征抽取的最为有效的方法之一 .但是在高维、小样本情况下如何抽取Fisher最优鉴别特征仍是一个困难的、至今没有彻底解决的问题 .文中引入压缩映射和同构映射的思想 ,从理论上巧妙地解决了高维、奇异情况下最优鉴别矢量集的求解问题 ,而且该方法求解最优鉴别矢量集的全过程只需要在一个低维的变换空间内进行 ,这与传统方法相比极大地降低了计算量 .在此理论基础上 ,进一步为高维、小样本情况下的最优鉴别分析方法建立了一
facepp-csharp-sdk-beta-master
- 代码里面还有动态库,可以编译,主要适用于面部识别人脸检测的功能,-Code with dynamic library, you can compile, mainly is suitable for the face recognition function of face detection,
face
- 先用PCA降维,然后使用OMP识别人脸图像。人脸库是ORL人脸库。-First with PCA dimensionality reduction, and then use the OMP face image recognition. Face is the ORL.
FacialExpressionRecognitiontool
- 人脸表情识别,稀疏表示,人脸表情图片,表情库。matlab程序实现,绝对可以调试运行。 毕业设计内容。-Facial expression recognition, sparse representation, facial expression, facial expression . Matlab programming, can debug the operation. Graduation design content.
biaoqingshibie
- 是对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率 -Is jaffe face recognition test the main library, the library will jaffe face divided into training and test sets of two parts, the first o
pcaPica
- ICA和PCA两种方法,实现了基于ORL人脸库的方法。识别率较高,适合初学者学习。-ICA and PCA are two ways to achieve based on ORL face approach. High recognition rate, suitable for beginners to learn.
FaceRec
- IOS平台下,利用Opencv开源库实现了人脸的识别,国外博客上搜到的。-The IOS platform, the use of Opencv open-source library implementation of the human face recognition, foreign blog search.
face-detection
- 基于Opencv库的脸部识别,可识别出人脸并用圆画出,并可上升至识别眼睛区域。-Face recognition based on the Opencv library, you can identify the face and draw a circle, and can rise to identify the eye area.
biaoqing
- 对jaffe人脸库进行识别测试的主程序,将jaffe人脸库分为训练集和测试集两部分,首先对图片进行LBP+LPQ特征提取,然后svm分类识别,统计识别率-Jaffe face for the identification of the main test will jaffe face is divided into a training set and a test set of two parts, the first of L
shi
- 人脸矩形识别易语言源码例程程序结合易语言易LOGO支持库和易语言第三方云外归鸟的图像处理支持库,调用API函数实现人面部矩形识别处理功能。 -Face recognition easy language source code routines program combined with easy language LOGO support library and easy language third party cloud ou