搜索资源列表
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
PCA-MATLAB
- PCA MATLAB 实现人脸识别的程序-PCA MATLAB realize face recognition process
PCA
- 人脸识别 pca（主成份分析） matlab代码-matlab pca
基于Gabor-pca的人脸识别
- 人脸识别完整的程序，特征提取之后，然后用分类器识别。-face recognition
test9.5
- 简单的人脸识别，使用opencv图像处理，PCA(sample face recognition)
NMFs算法用于实现基于人脸局部特征的人脸识别
- 实现了人脸检测和识别算法，很好的定位人脸位置(can efficiently locate the face in image.)
PCA_based Face Recognition
- pca基于MATLAB人脸识别，训练图像有10张图片，根据不同表情识别出是谁的人脸。(pca to Face recognition)
FaceRec
- 基于pca+matlab的人脸识别 比较详细可以借鉴 喜欢的可以多下载(Face recognition based on pca+matlab More detailed, you can learn from the favorite, you can download more)
PCA_Face
- 基于pca的一种人脸识别，人脸识别用的库是英国ORL的人脸库，精确率可以达到80%(Based on pca a face recognition, face recognition library is the British ORL face database, the accuracy rate can reach 80%)
PCA
- 非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
基于pca+lda+粗糙集+模糊神经网络的人脸识别
- 各种算法用于人脸识别，各个算法的识别率都不错，有lda,pca等算法(Various algorithms are used for face recognition, and the recognition rate of each algorithm is good. There are algorithms such as LDA, PCA and so on)
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别，结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
第 07 章 基于主成分分析的人脸二维码识别
- 用MATLAB编写的基于PCA的人脸识别(PCA-based face recognition written in MATLAB)
PCA_based Face Recognition System
- 基于主成分分析pca的人脸识别matlab源码，用的是orl库(Face recognition matlab source code based on PCA)
eigenface-master
- 人脸识别，运用PCA主成分分析进行识别，orl人脸数据库，40个人(Face recognition PCA algorithm)
人脸图像特征提取与对比
- NMF、PCA-人脸图像特征抽取与对比，图像识别，主成分分析(Face image feature extraction and comparison, image recognition, principal component analysis)
PCA-SVM-face
- 使用MATLAB语言，基于主成分分析和支持向量机进行人脸识别(MATLAB face detection)