Facial expression synthetic method based on feature points

Abstract

The invention discloses facial expression synthetic arithmetic based on a hybrid transformation strategy. Transition from motion capture data space to target face model motion space is achieved by building a redirecting model of radial basis function facial expressions based on geodesic distance. On a stage of facial expression animation, the result of space transformation is utilized, and local motion of a peak is calculated through a weighted local transformation method based on adjacent feature points. Simultaneously, the whole situation displacement of the peak is calculated through a whole situation transformation method based on radial basis function interpolation. In the end, the final displacement of the peak is obtained by mixing a local displacement and the whole situation displacement. According to the facial expression synthetic arithmetic based on the hybrid transformation strategy, the same catching order can be applied to different face models, model transformation is easy, and simultaneously, different catching orders can be used on the same target model, reusing of motion capture data is achieved, and simultaneously strong animation third dimension is achieved. The algorithm flow chart of the facial expression synthetic arithmetic based on the hybrid transformation strategy is shown in an abstract attached map.

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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