Face changing forgery detection method, system and equipment based on three-dimensional shape of human face

Abstract

The invention belongs to the field of face exchange images, computer vision and image evidence obtaining, particularly relates to a face exchange forgery detection method, system and equipment based on a face three-dimensional shape, and aims to solve the problems that the prior art is easily attacked by post-processing operation and a non-homologous face forgery method, and the robustness and generalization of a model are not high, so that the face forgery detection accuracy is low and even the face forgery cannot be detected. The method comprises: extracting a figure face appearance to determine a figure identity; acquiring a facial three-dimensional shape feature template of the corresponding character from the registration reference set; extracting facial three-dimensional shape features of the image to be detected through 3DMM; calculating the mahalanobis distance between the two images, and if the mahalanobis distance is smaller than a true and false judgment threshold, determining that the image is a real face image and otherwise, faking the image for face changing. The forged sample can be detected from the real face image, and meanwhile, the anti-interference capability of the detection model on various post-processing operations and the generalization capability of a forging method which is not homologous with training data are effectively improved.

Description

technical field [0001] The invention belongs to the fields of face-swapping images, computer vision and image forensics, and in particular relates to a face-swapping forgery detection method, system and equipment based on the three-dimensional shape of a human face. Background technique [0002] In recent years, with the vigorous development of deep learning, especially the generative adversarial network (GAN), the face tampering technology of face images has also shown rapid progress. With the development of GAN in recent years, some high-quality fake images that are difficult for human eyes to distinguish can be easily generated. Among them, face swapping is currently the most common forgery generation method. Some criminals can use the forged generation technology of face exchange to achieve some malicious purposes. Therefore, this is also one of the important research topics in the field of digital image forensics. [0003] In the field of digital image forensics, som...

AI Technical Summary

Problems solved by technology

[0011] In order to solve the above-mentioned problems in the prior art, that is, the prior art is vulnerable to post-processing operations and non-homologous face forgery methods, and the model robustness and generalization are not high, so that the accuracy of face forgery detection is relatively low. low or even impossible to detect, the present invention provides a face-changing forgery detection method based on the three-dimensional shape of the face, the method comprising:

Images