搜索资源列表
gdfhgdfhgd
- 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
pca
- 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 fil
trainList
- 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
feret
- 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 fi
fc
- 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 fi
createDistMat
- 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 fi
FERET
- Face recognition, algorithm evaluation, FERET database papers
eigenfce_pca.rar
- 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 t
FERET
- 用于人脸识别的、完整的、FERET人脸数据库-FERET face database
pca_1
- 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.
MPCASourceCode
- The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
FERET_PCA
- 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.
AnimprovedBayesianfacerecognitionalgorithm
- 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 ha
FERET
- FERET人脸数据库，80*80大小，200张人脸，每人7幅图片-feret face database，80*80
coding
- This one is code for Random Forest algorithm,,,hav loaded face with FERET database-This one is code for Random Forest algorithm,,,hav loaded face with FERET database,,,,,,,,,,,,,,,,,,,,,,,,,,,,
MatlabPCA
- 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.
source
- 针对feret人脸数据库，对传统pca算法的实现。-For feret Face database, to achieve the traditional pca algorithm.
FERET
- ar人脸数据库，经典的人脸库，用于人脸检测与识别。-ar face database, the classic face database for face detection and recognition.
pca
- 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 filenam
单样本人脸识别
- 利用KNN分类器在FERET人脸库上进行单样本人脸识别(Single sample face recognition on FERET face database using KNN classifier)