A face image processing method

Abstract

The invention discloses a human face image processing system and method. The system includes: a model image storage module for storing model images; a human face image collection module for collecting human face images; an image transmission module for transmitting The face image to image processing module; the image processing module is used to synthesize the face image; the image display module is used to display the collected face image, the recommended model image and the final composite image. The method mainly includes steps such as detecting face regions in an input image and a reference image, extracting face feature points, and performing triangulation on two face images according to the same rule. Through the system and method of the present invention, the image acquisition module can be separated from the image processing module, so that it is convenient to select the best acquisition position, and at the same time, the customer can see the acquired face image in real time, select the appropriate facial expression, and the best location of the photo.

Description

technical field [0001] The invention relates to an image processing system and method, in particular to a system and method for face image processing. Background technique [0002] Image processing technology is used in many fields including medical treatment, military affairs, production and so on. The application of image processing technology in face image recognition enables people to obtain relevant information more conveniently in many fields, so as to make more accurate judgments on relevant situations. [0003] In many scenarios, such as in a hair salon, customers want to have an intuitive judgment on whether the hairstyle is suitable for them before getting a haircut, so that they can make a more suitable choice for them. In addition, this method of face image synthesis also has broad application prospects in privacy protection, virtual fitting, entertainment and leisure. [0004] The main shortcoming that present prior art exists is: [0005] One is that if the ...

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Problems solved by technology

[0005] First, if the brightness, contrast, and hue of the image to be synthesized are inconsistent, the authenticity of the synthesized image will not be high, so that useful information cannot be obtained

[0006] Second, when applied to the above-mentioned barber shop scene, because the hairstyle will block the facial features, the facial features of the customer cannot be seamlessly fitted with the hairstyle of the model, resulting in an unnatural image effect and degrading the customer experience.

[0007] The third is that the existing technology cannot change the face contour of the synthesized image. In layman’s terms, if the model provided has a round face, but the customer’s face is a square face, the existing synthesis technology can only make the synthesized image still have a round face

[0009] "Face Swapping under Large Pose Variations: A3D Model Based Approach" by Lin Y, Wang S, Lin Q et al. (in IEEE, International Conference on Multimedia and Expo, 2012) adopts the establishment of 3D head model (3D morphable models, 3dMM ) method, due to the immaturity of the technology, can only generate part of the facial features, which will cause the final composite effect to be unreal, and the method based on this 3D model will take a lot of time and cannot meet most application scenarios

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