Cross-age face recognition method
A face recognition and age person technology, applied in the field of cross-age face recognition, can solve the problems of poor cross-age face recognition ability, achieve the effect of reducing model complexity and improving recognition efficiency
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[0040] Such as figure 1 As shown, a cross-age face recognition method based on maximum entropy feature descriptor and aging-aware denoising autoencoder, including the following steps:
[0041] (1) Densely sample the face image to be recognized, that is, divide the face image into multiple overlapping blocks, extract the pixel vector for each block, and take multiple values for the overlapping radius of the block to preserve as much as possible Partial information of the face;
[0042](2) For the extracted pixel vector, build a decision tree, set the probability value of the root node of the tree to 1, use the principle of maximum entropy to recursively expand the tree, and finally assign a code to each leaf node of the tree, where, Each leaf node represents a local feature;
[0043] (3) For each face image, concatenate the obtained maximum entropy feature description codes into a feature vector, re-segment the feature vector, and use methods such as principal component ana...
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