Research on Facial Expression Animation Technology Based on K-means Algorithm

Animation technology plays an important role in intelligent face expressions, but there is a problem of inaccurate capture and positioning. The traditional particle swarm algorithm cannot solve the animation technical problem in intelligent face expressions, and the effect is not ideal. Therefore, this paper proposes research on facial expression animation technology based on K-means algorithm and analyzes the research on facial expression animation technology. Firstly, the distance measurement theory is used to locate the influencing factors, and the indicators is divided according to the requirements of animation technology to reduce the interference factors in animation technology. Then, the distance measurement theory is used to form the K-means algorithm energy meter animation technical scheme, and the animation technical results is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the K-means algorithm is better than the traditional particle swarm algorithm in terms of animation technology accuracy and animation technology influencing factor time.