Human face fake photo automatic combining and modifying method based on portrayal

Abstract

The invention discloses a human face fake photo automatic combining and modifying method based on a portrayal. The method comprises the following steps: firstly, automatically generating initial estimation of a fake photo by applying a partial intrinsic transform method; then, extracting hair and facial contour information from an input human face portrayal, and carrying out automatic enhancement on the initial estimation; finally, judging whether partial combining errors exist in the automatically-combined human face fake photo by a user, and if obvious combining errors exist, carrying out local deformation on a corresponding human face of the re-input fake photo by adopting a deformation method based on control points, then carrying out automatic combination again, and therefore modifying the partial combining errors. In a modifying process, an active shape model is used for obtaining the feature points of the human face portrayal, and rigid deformation based on the control points is carried out by using a least square method. The human face fake photo automatic combining and modifying method based on the portrayal can automatically combine a human face fake photo fast and effectively according to the input human face portrayal, and can provides assistance for manual and automatic identification of human face sketch portrayals in criminal investigation, anti-terrorist and other fields.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a portrait-based method for automatically synthesizing and correcting fake photos of human faces. The method can provide assistance for manual and automatic recognition of human face sketch portraits in the fields of criminal investigation and anti-terrorism. Background technique [0002] In the process of criminal investigation and law enforcement, when the identity of the suspect cannot be determined and his image data cannot be obtained, the public security organ will ask professionals to draw a sketch portrait of the suspect according to the description of the witnesses. According to the sketch portrait, the public security organs can solicit relevant clues and information from the public. [0003] The face pseudo-photo converted from the face portrait has a visual effect similar to the real face photo, and its functions and significance mainly include: 1...

AI Technical Summary

Problems solved by technology

Although this method can reduce the synthesis error in some areas, since the synthesis process involves the overall deformation of all areas of the face, the output fake photo of the face is inevitable in terms of overall similarity compared with the real face photo. There will be a certain degree of decline

Moreover, the method must rely on complex neural networks to predict the target locations of a large number of control points in the output

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