Face feature code conversion method and device and electronic equipment
A technology of face features and transformation methods, applied in the field of face recognition, can solve the problem that face recognition models cannot be universal, and achieve the effects of enhancing linear separability, reducing information loss, and improving transformation accuracy
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[0057] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. The specific embodiments described here are only used to explain the present invention, not to limit the invention.
[0058] At present, for each face image, the feature codes obtained by different face recognition technologies are different, so the application layer of each face recognition device corresponds to a set of feature codes. Modifying the deployment of the application layer greatly reduces convenience and wastes labor costs. To solve this problem, such as figure 2 As shown, the present embodiment provides a method for converting face signatures, comprising the following steps:
[0059] First, build a deep neural network model, such as figure 1 Shown is a schematic diagram of the network structure of the deep neural network model constructed by the present inv...
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