搜索资源列表
LBP
- LBP人脸识别方法的几篇论文和程序，对学习lbp很有用的-LBP face recognition methods and procedures in several papers, useful for learning lbp
UFR2.0
- 通过人脸图像归一化，人脸检测，特征提取等处理后，实现人脸识别功能-Through the Human face image normalization, face detection, feature extraction, such as treatment, the realization of face recognition feature
face
- face detection code for matlab
hausdorff
- this source code for housdorff distance matching for 3D face recognition. I used this code on GavabDB .
findskin
- skin detection matlab code
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
LDA
- Complete Face Recognition System using LDA (with visiable training image set and testing image set-Complete Face Recognition System using LDA
Matlab
- 一个简单的Matlab人脸识别代码，含有一个人的图片库-A simple Matlab face recognition code, containing a picture library
matlab--face-emotion-detection
- facial emotion using matlab
easy
- 可用于matlab人脸检测,背景单一时准确率较高。(face detection code,It can be used in matlab face detection, with a high accuracy when single background is used.)
matlab-viola-jones-master
- matlab code of viola jones object/face detector
BP神经网络的人脸识别matlab代码
- 使用MATLAB实现人脸识别，可以正常运行(Using MATLAB to realize face recognition, it can run normally)
Detect face
- face detection matlab
Face Recognition Algorithms
- Face Recognition Algorithms
A MATLAB based Face Recognition System
- A MATLAB based Face Recognition System using Image Processing and Neural Networks
新建文件夹
- MATLAB 人脸定位识别，可以快速实现人脸的定位和识别(MATLAB face location recognition)
face-recognition
- THIS CODE IS CREATED IN MATLAB FOR FACE RECOGINITION
matlab数字图像处理与识别
- 将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific re
matlab 人脸识别代码
- matlab人脸识别,能精准识别照片中的人脸，并且精确识别出人脸五官，给出照片库，能进行对比从而找出人脸。(Matlab face recognition, can accurately identify the face in the photo, and accurately identify the facial features, give a photo library, can be compared to find out the face.)
matlab表情识别
- Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly,