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Description: pca人脸识别This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 2636 |
Author: 蔡加欣 |
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Description: PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 3317 |
Author: 蔡加欣 |
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Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 2353 |
Author: 蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 967 |
Author: 蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 1480 |
Author: 蔡加欣 |
Hits:
Description: PCA 人脸识别, PCA 人脸识别,PCA 人脸识别-PCA face recognition, face recognition PCA, the PCA face recognition, face recognition PCA
Platform: |
Size: 33792 |
Author: |
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Description:
Platform: |
Size: 2048 |
Author: 蔡加欣 |
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Description: PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
Platform: |
Size: 3072 |
Author: 蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
Platform: |
Size: 2048 |
Author: 蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
Platform: |
Size: 1024 |
Author: 蔡加欣 |
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Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
Platform: |
Size: 1024 |
Author: 蔡加欣 |
Hits:
Description: This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames.
Platform: |
Size: 33792 |
Author: nick |
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Description: This package implements basic Principal Component Analysis and Eigen Faces in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames.
Platform: |
Size: 964608 |
Author: nick |
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Description: The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
Platform: |
Size: 2073600 |
Author: nick |
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Description: 在matlab中实现主成分分析方法，并使用FERET库的灰度图像进行测试-This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database.
Platform: |
Size: 32768 |
Author: pwqxyz |
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Description: Principal Component Analysis on the FERET Dataset, 人臉辨識系統使用 PCA 應用在 FERET 人臉資料庫, 提供完整的 matlab 源碼.
Platform: |
Size: 34816 |
Author: 王扶助 |
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Description: 这是一个Matlab编写的基于PCA的人脸识别分类算法，对FERET数据库进行了分类。-This is a Matlab prepared by the PCA based face recognition algorithm, the FERET database are classified.
Platform: |
Size: 67584 |
Author: 李岩 |
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Description:
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames.
pca.m and createDistMat.m can be used on any database following the
same principles described in the header of the files. feret.m is specific
for the FERET database but can easily be transformed to be generic if needed.
In addition to the three .m files, standard FERET gallery and probe set lists
are given, along with a list of randomly chosen 500 images that can be used
for testing:
Training set: trainList.mat
Gallery: feretGallery.mat
Probe sets: fb.mat fc.mat dup1.mat dup2.mat-
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames.
pca.m and createDistMat.m can be used on any database following the
same principles described in the header of the files. feret.m is specific
for the FERET database but can easily be transformed to be generic if needed.
In addition to the three .m files, standard FERET gallery and probe set lists
are given, along with a list of randomly chosen 500 images that can be used
for testing:
Training set: trainList.mat
Gallery: feretGallery.mat
Probe sets: fb.mat fc.mat dup1.mat dup2.mat
Platform: |
Size: 34816 |
Author: harish bsv |
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