搜索资源列表
DPCA
- 二维PCA人脸识别源码，针对ORL人脸库，识别率98％，matlab语言编程
homework
- 使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。-PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,
Towdpca
- 2DPCA的MATLAB程序，毕设用的，不像国外有些编的那么大，便于理解，非常实用，保证正确，适合初学者。-2DPCA the MATLAB program, completed the set up used, unlike some foreign series such a big, easy to understand, very practical, and ensure the correct, suitable for beginners.
dpca
- 基于DPCA算法的动目标检测，非常实用，希望对你有帮助-DPCA-based moving target detection algorithm is very useful and would like to help you
2DPCA
- 2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit
2DPCA
- 基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试-Two-dimensional Principal Component Analysis for Face Recogntion.
DPCA_Program(added-detailed-notes)
- DPCA程序，人脸识别，主成分分析，我给加了详细的注释，里面有训练和测试两部分，适合初学者，-DPCA program, face recognition, principal component analysis, I give added detailed notes, there are training and testing two parts, it is suitable for beginners,
2dpca
- 本代码实现了利用2dpca算法对图标进行识别分类-This code realization of 2 the algorithm of dpca icon recognition classification
face_2DPCA
- 用2DPCA提取人脸特征，然后用支持向量机分类识别。效果不错。-With 2 DPCA face feature extraction, and then by support vector machines (SVM) classification and recognition. The result is right.
DPCA
- 可以用的人脸识别软件。自动摄像头捕捉。大家可以学习学习。-dass siodjs s fjp pjsd f jfp
2DPCAPPCA
- 2DPCA+PCA图像特性提取,用于图像的仿生模式识别中。-2 dpca and pca image feature extraction，Used in the image of the bionic pattern recognition.