Face anti-spoofing recognition method based on action enhancement
An anti-spoofing and action technology, applied in the direction of deception detection, neural learning methods, biometric identification, etc., can solve the problems of not doing too much and losing location information.
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[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.
[0028] The present invention proposes an improved CNN+LSTM framework using motion enhancement technology, which enhances the motion information input into CNN+LSTM network video through motion enhancement technology. In addition, in order to overcome the defect of missing position information in the existing CNN+LSTM framework , the present invention creatively adds the LSTM structure after the last pooling layer, and removes the fully connected layer at the same time to achieve the purpose of retaining position information, so that the extracted sequence features are more distinguishable. Its basic framework is as figure 1 As shown, where Conv is a convolutional layer, and the convolution kernel is 3*3, including a total of 13 convolut...
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