Description: Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.
- [eigenfaces] - based on the SVD Major Face recognition
- [FaceDetectionFrame] - a knowledge-based Face Detection System,
- [Morphology] - Using mathematical morphology of clouds
- [BP] - matlab development of BP neural network
- [SpPCA] - Sub-pattern PCA use in the Yale face dat
- [net] - I uploaded is the intelligent control ne
- [5544] - Wavelet transform of digital image compr
- [facerecgnizesys] - Image processing, edge detection extract
- [SVMface] - A matlab code of SVM for face recognitio
- [marcel_test] - Based on complex background of human ges
File list (Check if you may need any files):
特有用PCA_based Face Recognition System\CreateDatabase.m
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特有用PCA_based Face Recognition System
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