Human face expression cloning method

Abstract

The invention provides a human face expression cloning method and relates to 3D image processing, in particular to a human face expression cloning method based on motion capture data. Firstly, a human face motion sequence is captured in advance; secondly, motion capture of the six types of basic expression information of anger, disgust, fear, joy, sadness and surprise of the human face is carried out; thirdly, the six types of basic expression information obtained through motion capture, of the human face is processed; fourthly, a source face and target face key model is established; fifthly, forty one human face characteristic points are selected; sixth, human face expressions are transferred; seventh, human face cloned expressions are generated. The human face expression cloning method solves the problems that in the prior art, uniform weight fidelity is low and cotangent weight calculation is instable, and overcomes the defects that the requirement for motion capture equipment is high and the processing speed is low.

Description

technical field [0001] The technical solution of the present invention relates to the processing of three-dimensional (3D) images, specifically a method for cloning human facial expressions. Background technique [0002] The facial expression cloning technology is to clone the expression of the human face to the target model that has a different topological structure from the source model. The target model can be people of different genders and different races, or animals that are very different from the topological structure of the human face. . The data-driven facial expression cloning technology makes full use of the existing vertex motion data to quickly synthesize real and natural cloned expressions. In recent years, this technology has been widely used in the fields of computer animation, computer games and computer vision. [0003] Starting from human visual requirements, it is always hoped that the cloned facial expressions can be as realistic as possible, but due ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for cloning human facial expressions, which is a method for cloning human facial expressions based on motion capture data. First, a camera is used to capture six basic facial expression data, and the data is processed. Then construct the key models corresponding to the source face and the target face model respectively, and select forty-one facial feature points in the key areas of expressing facial expressions, and transform the face by using the Laplace deformation algorithm with convex weights The expression is transferred to the target model, which well preserves the details of facial expressions, overcomes the problems of low fidelity of uniform weight and unstable calculation of cotangent weight in the prior art, and the high requirements and requirements of motion capture equipment. Defects that are slower to process

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