Patent ID: 11881050
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for detecting a face synthetic image, comprising:
inputting a face image to be detected into a pre-trained convolution neural network so as to perform feature extraction on the face image through the convolution neural network to obtain a raw image feature of the face image;
inputting the raw image feature into a first full connected layer so as to perform calculation on the raw image feature through the first full connected layer to obtain a first feature vector corresponding to a face key point of the face image, and inputting the raw image feature into a second full connected layer so as to perform calculation on the raw image feature through the second full connected layer to obtain a second feature vector corresponding to the face image;
merging the first feature vector and the second feature vector to obtain a merged feature vector; and
inputting the merged feature vector to a third full connected layer so as to perform calculation on the merged feature vector through the third full connected layer to obtain a detection result of the face image, wherein the detection result comprises information indicating that the face image is one of a synthetic face image and a non-synthetic face image.