搜索资源列表
Face Recognition_xl
- 人脸识别的MATLAB算法，对于学习人脸识别和深度学习很有帮助(MATLAB algorithm for face recognition, learning face recognition and depth of learning is very helpful)
LPP程序
- MATLAB编写的人脸特征提取代码，叫局部保持投影特征提取算法，可以作为人脸识别系统一部分(MATLAB prepared by the facial feature extraction code, called the local projection feature extraction algorithm can be used as part of the face recognition system,feature exaction.)
Face_Recog
- 实现基于PCA算法和ORL数据库的人脸识别识别百分比和识别速度可视化。(Visualization of recognition percentage and speed of recognition)
Adaboost人脸识别(有GUI)
- 实现人脸识别，有多种算法，包含gui界面，识别率高，程序易懂，值得借鉴(The realization of face recognition has a variety of algorithms, including the GUI interface, high recognition rate, easy to understand program, and it is worth reference.)
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)
pca_face_rec
- 这是一个用PCA算法实现的人脸识别，解压压缩包，直接运行即可(This is a face recognition using PCA algorithm, decompression compression package, direct operation can)
face-KNN
- 用PCA算法和KNN算法实现人脸识别，参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
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)
2dpca的matlab源代码
- 可以实现人脸比对等简单的人脸识别功能，简单的算法，基于dpca的代码(A simple face recognition function can be realized with a face than a peer.)
稀疏
- 使用稀疏特征算法实现人脸识别，带有例程，基本实现人脸识别(Using sparse feature algorithm to realize face recognition with routineBasic realization of face recognition)
pca
- PCA算法可在MATLAB中配合人脸数据库实现人脸识别(PCA algorithm can be used to realize face recognition algorithm.)
PCA+SVM
- 用于人脸识别，包含了PCA及SVM算法，数据集采用的ORL数据库(face recognition(PCA+SVM))
FaceRec
- 分别用基于PCA+SVM和PCA+Adaboost 两种算法进行对200张人脸图片进行识别。(200 face images are identified by two algorithms based on PCA+SVM and PCA+Adaboost.)
FaceRecognitionPCA
- pca算法人脸识别代码，可供需要的人参考(PCA algorithm face recognition code, for reference to people in need.)
face_recognize-master
- 可以进行人脸识别，特别强大，而且还有机器学习算法，比较综合(Face recognition, especially powerful)
LBP算法实现人脸识别
- 基于matlab平台的LBP算法实现人脸识别。(Face recognition based on LBP algorithm based on MATLAB platform.)
adaboost
- matlab中可运行的adaboost人脸识别算法(Adaboost face recognition algorithm that can run in matlab)
人脸检测算法详解
- 人脸检测作为人脸识别的第一步，那么检测的正确与否直接影响识别结果，该方法对人脸检测鲁棒性较高