Method for automatically generating 3D face according to photo

Abstract

The invention relates to a method for automatically generating a 3D face according to a photo. The method is characterized by comprising the following steps: a face material needing to be processed is chosen by a user to generate a 3D face image; then, adjustment, matching and detail modification are performed on the 3D face image; and finally, animated facial expressions are imported into the 3D face image and stored. Thus, a 3D face image can be generated for a user step by step by use of a photo, and the details of each part can be adjusted after generation. The method can cooperate with subsequent procedures, a generated face has a variety of preset facial expressions, and effective 3D face image interaction can be performed. Moreover, the whole generation process is simple and easy to process, the data burden on processing equipment is not increased, and the method is easy for users to operate independently.

Description

technical field [0001] The invention relates to a method for generating 3D human faces, in particular to a method for automatically generating 3D human faces according to photos. Background technique [0002] Traditional face reconstruction techniques often use one or more two-dimensional images (such as digital photographs) of the face to create a three-dimensional representation of the face. The representations thus created may be files, such as electronic files, representing individual features of different faces. The files can be used, for example, for facial recognition, animation or rendering. [0003] Once the image is acquired, it is often processed on the basis of prior knowledge or assumptions of what human faces typically look like. This knowledge is often referred to as "domain knowledge", a "prior model", or especially a "face in general". For example, prior face knowledge can reveal different kinds of facial features, such as the current or likely positions ...

AI Technical Summary

Problems solved by technology

The latter approach requires additional hardware construction that is practically difficult to implement at a reasonable cost

A purely data-driven approach to a single camera alleviates the hardware constraints of multi-view stereo methods, but can itself be unstable due to the lack of constraints in the processing stages

[0005] However, the existing methods are all based on realistic face reproduction, and the implementation process is too complicated, which is not conducive to the quick and easy realization of the user, nor can it be effectively combined with existing photos for DIY matching settings

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