Human face expression synthesis method based on characteristic point

Abstract

The invention discloses a human face expression synthesis algorithm based on blended deformation strategy, and discloses a method based on characteristic points. The method comprises the following steps: establishing a recombinant model of radial base function human face expression based on geodesic distance, thereby achieving conversion from a movement capture data space to a target human face model movement space; in the human face expression animation period, calculating partial movement of a top point by using a partial deformation method based on adjacent characteristic point weighting by utilizing the space conversion result, at the same time, calculating global displacement of the top point by using a global deformation method based on radial basis function interpolation, and finally combining the partial displacement with the global displacement, thereby obtaining the final displacement of the top point. The same capture sequence can be applied to different human face models, model conversion can be relatively easily achieved, the same target model can be also used for different capture sequences, repeated use of movement capture data is achieved, and relatively high animation real feeling can be achieved. The figure 1 as shown in the description is the algorithm flow chart of the method.

Description

technical field [0001] The invention relates to a method for synthesizing human facial expressions based on feature points, which belongs to the technical field of image processing. Background technique [0002] The traditional way of human-computer interaction is based on mouse and keyboard. With the development of computer graphics and computer hardware technology, realistic facial animation technology provides a more convenient interface for human-computer interaction. In the field of entertainment, more and more realistic virtual people have been applied to various film and television works. In the field of education, since virtual human faces can produce various realistic facial expressions, it is easier to concentrate students' attention. Virtual faces can also play a role in customer relationship management. In addition, facial animation technology can also be applied to fields such as medical treatment, news broadcasting, advertising and psychology. In the field o...

AI Technical Summary

Problems solved by technology

Since the face is a surface structure with an open area, many problems involving the distance between two points on the face are approximated by solving the length of the edge connecting the two vertices. This approximation method does not fully consider the face mesh. special structure

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