Title:
BasedonprincipalcomponentanalysisoftheFaceRecognit Download
Description: In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
- [LDAandPCA] - head! This is the LDA and the use of pat
- [TwoDPCA] - Using matlab to achieve 2dpca face recog
- [face_recognition] - Implementation of face recognition syste
- [feature] - QR decomposition method to use a 10* 10
- [pattern-recognition-simulation] - It s the simulations about linear classi
- [yaleB01_P01.tar] - face database
- [2DPCA] - Without the need to convert images to ve
- [MINE.RAR] - Great recognition of my work, containing
- [OLPP] - In face recognition process, non-linear
- [2DPCA] - 2DPCA。。written by myself maybe useful fo
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基于主成分分析的人脸识别研究.doc