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[Other resource] feret DL : 0: FERET人脸库的处理代码。内函预处理，分类，等代码。
Update : 2008-10-13 Size : 1.22mb Publisher : 一心
[Other resource] feret DL : 0: 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
Update : 2008-10-13 Size : 2.3kb Publisher : 蔡加欣
[Special Effects] FERET DL : 0: Face recognition, algorithm evaluation, FERET database papers
Update : 2008-10-13 Size : 1.57mb Publisher : bevin
[AI-NN-PR] gdfhgdfhgd DL : 0: feret人脸图象数据库处理代码，与大家共享-feret facial image database handling code, and share
Update : 2025-02-17 Size : 1.22mb Publisher : wzs
[Special Effects] ReadEyeCoordinate_FERET DL : 0: 一种能有效读出FERET库中的人眼坐标的有效方法，适用于有关人眼的人脸识别。-an effective FERET read out the eyes of the effective ways to coordinate, applicable in the eyes of face recognition.
Update : 2025-02-17 Size : 1kb Publisher : newhope
[AI-NN-PR] feret DL : 0: FERET人脸库的处理代码。内函预处理，分类，等代码。-FERET face database handling code. Within the letter of pre-processing, classification, and other code.
Update : 2025-02-17 Size : 1.22mb Publisher : 一心
[matlab] trainList DL : 0: 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
Update : 2025-02-17 Size : 3kb Publisher : 蔡加欣
[matlab] feret DL : 0: 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
Update : 2025-02-17 Size : 2kb Publisher : 蔡加欣
[matlab] fc DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : 蔡加欣
[AI-NN-PR] createDistMat DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : 蔡加欣
[Special Effects] FERET DL : 0: Face recognition, algorithm evaluation, FERET database papers
Update : 2025-02-17 Size : 1.57mb Publisher : bevin
[AI-NN-PR] db_feret DL : 0: 这是一个feret数据库,对做模式识别的人来说非常有用的库.-液feret 菘, 模式识说浅玫目.
Update : 2025-02-17 Size : 1.56mb Publisher : liuhua
[matlab] pca_1 DL : 0: 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.
Update : 2025-02-17 Size : 33kb Publisher : nick
[matlab] eigenfce_pca DL : 0: 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.
Update : 2025-02-17 Size : 942kb Publisher : nick
[matlab] MPCASourceCode DL : 0: The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
Update : 2025-02-17 Size : 1.98mb Publisher : nick
[matlab] Principal_Component_Analysis DL : 0: Principal Component Analysis on the FERET Dataset
Update : 2025-02-17 Size : 34kb Publisher : Mike
[Graph Recognize] FERET_PCA DL : 0: 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.
Update : 2025-02-17 Size : 32kb Publisher : pwqxyz
[Other] AnimprovedBayesianfacerecognitionalgorithm DL : 0: 对人脸识别的贝叶斯方法ML中相似度计算公式进行了简化，对数据集的训练和人脸图像的预处理进行了修改，提出了一种改进的贝叶斯人脸识另1】算法SML。在FERET人脸图像库的子集和南大人脸图像实验库上对识别算法进行了测试和比较。实验表明，SML算法提高了ML算法的效率，克服了ML算法计算效率不高的缺陷，而且SML的识别效率明显高于PCA方法。-Bayesian face recognition method on the ML in the similarity formula has been simplified, the data set of training and pre-processing face images were modified, an improved understanding of Bayesian Face Ling 1】 algorithm SML. In the FERET face image database a subset of the Southern adults face image recognition algorithm on the experimental database was tested and compared. Experiments show that, SML algorithm improves the efficiency of ML algorithm, ML algorithm overcomes the shortcomings of high efficiency, and the recognition rate significantly higher than SML PCA method.
Update : 2025-02-17 Size : 256kb Publisher : dmay
[matlab] PCA-on-the-FERET-Dataset DL : 0: 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.
Update : 2025-02-17 Size : 34kb Publisher : 王扶助
[Special Effects] Fisherface-Recognition DL : 0: 完整实现Fisherface人脸识别，能够在AR、ORL、FERET等使用，采用彩色图像进行测试，实验效果好，有的能达到100 -This package implements a well-known FLD-based face recognition method, which is called Fisherface
Update : 2025-02-17 Size : 175kb Publisher : yuanbh

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