Description: Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification.
- [FaceIdEval] - The program contains four outstanding fa
- [Cart2000] - LPR License Plate Recognition procedure
- [fdv41] - Face detection, based on the extraction
- [renlianshibie] - The system is developed under matlab env
- [orl] - ORL face database for face detection and
- [ModularPCA] - Modular PCA prepared matlab source code
- [MPCA] - High-dimensional PCA References: MPCA Mu
- [KFDA] - This experiment the use of nuclear Fishe
- [PCALDA] - PCA+ LDA classical face recognition algo
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