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Face synthesis image detection method and device

A face detection and face synthesis technology, applied in the visual field, can solve the problems of low detection accuracy, poor neural network versatility, and neural network interference, achieving high accuracy, avoiding interference, and good versatility

Pending Publication Date: 2020-06-26
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, for different face-changing technologies, the generality of the neural network is relatively poor, and the neural network is easily disturbed by the image background, and the detection accuracy is not high

Method used

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  • Face synthesis image detection method and device
  • Face synthesis image detection method and device
  • Face synthesis image detection method and device

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Embodiment Construction

[0019] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0020] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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Abstract

The invention discloses a face synthesis image detection method and device, and the method comprises the steps: inputting a to-be-detected image into a trained network model, enabling a face detectionnetwork in the network model to obtain an image containing a face frame based on the to-be-detected image, and outputting the image to an authenticity discrimination network in the network model; andenabling the authenticity discrimination network to discriminate whether the to-be-detected image is a face synthesis image based on the image containing the face frame. For to-be-detected images obtained by tampering by using different face changing technologies, accurate detection can be realized through the network model comprising the face detection network and the authenticity discriminationnetwork. The method is good in universality, the human face detection network can accurately detect the human face in the to-be-detected image, the authenticity discrimination network can discriminate the authenticity of the to-be-detected image only based on the human face features based on the image containing the human face frame, interference of the background of the to-be-detected image is avoided, and therefore the discrimination result obtained through the method is high in accuracy.

Description

technical field [0001] The invention relates to the field of visual technology, in particular to a method and device for detecting a synthetic face image. Background technique [0002] With the development of face synthesis technology (also known as face-changing technology), false information or false news may be spread through this technology, causing adverse effects on society. Especially when it comes to image forensics, the source and potential authenticity of an image needs to be determined. [0003] Currently, based on the FaceForensics++ dataset, the ability to learn image features using a convolutional neural network (CNN) is used to train a neural network for detecting synthetic face images in a supervised learning manner. However, for different face-changing technologies, the generality of the neural network is relatively poor, and the neural network is easily disturbed by the image background, and the detection accuracy is not high. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V40/168G06V40/172G06N3/047G06N3/045G06F18/253Y02T10/40
Inventor 乔鹏赵蕾窦勇姜晶菲李荣春牛新苏华友潘衡岳
Owner NAT UNIV OF DEFENSE TECH
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