A Glasses Removal Method for Fine-grained Face Recognition
A technology of glasses removal and granularity, which is applied in the field of face recognition, can solve the problems of large model parameters and calculation, difficult training, and many network layers, etc., to reduce the input dimension and enhance the nonlinear feature expression ability , the effect of good robustness
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[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0047] The present invention uses MFM and operations such as convolution, deconvolution, pooling, and summation of corresponding elements to construct a new eyeglasses removal depth convolutional neural network (Eyeglasses Removal DCNN, ERCNN), which is used for fine-grained face identify. In terms of network structure, the difference between the ERCNN of this scheme and Light CNNs is that: (1) the ERCNN of this scheme retains the ReLU layer...
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