文件名称:FaceRecognition
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笔者自行编写的Matlab环境下的人脸识别算法小实验,
采用的是经典的PCA算法,主要内容是采用SVD方法提取出象素空间上的
PCA主分量特征,分类算法上仅是基于最小距离分类
-The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier
采用的是经典的PCA算法,主要内容是采用SVD方法提取出象素空间上的
PCA主分量特征,分类算法上仅是基于最小距离分类
-The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier
相关搜索: pca
最小距离
人脸识别
svd
svd
face
recognition
in
matlab
face
matlab
face
recognition
in
matlab
using
pca
method
face
recognition
PCA
人脸识别
PCA
SVD
face
recognition
最小距离
人脸识别
svd
svd
face
recognition
in
matlab
face
matlab
face
recognition
in
matlab
using
pca
method
face
recognition
PCA
人脸识别
PCA
SVD
face
recognition
(系统自动生成,下载前可以参看下载内容)
下载文件列表
averageFaces.m
BatchTest_Recog.m
Detect_template.m
dlgopen.m
downSampleFaces.m
faceRecog.m
finalTemplate.m
IndCurrent.m
IndNext.m
IndPrev.m
loadfile.m
makeNormRecogTrainSet.m
makeNormTrainingSet.m
makeTemplate.m
mClip_Norm_Faces.m
PExit.m
recogFace.m
showpt.m
templateMatch.m
Train_SVD.m
Untitled2.m
verify_knowledge.m
BatchTest_Recog.m
Detect_template.m
dlgopen.m
downSampleFaces.m
faceRecog.m
finalTemplate.m
IndCurrent.m
IndNext.m
IndPrev.m
loadfile.m
makeNormRecogTrainSet.m
makeNormTrainingSet.m
makeTemplate.m
mClip_Norm_Faces.m
PExit.m
recogFace.m
showpt.m
templateMatch.m
Train_SVD.m
Untitled2.m
verify_knowledge.m