Research on 3D Animation Expression Driving Based on Adaptive Regression Model and Video Facial Tracking
With the rapid development of science and technology,three-dimensional face recog-nition and expression drive are also being used more often.However,since the equipment requirements of this technology are high and the cost of its application increases,how to reduce the cost and promote its practical application while ensuring the completion of 3D animated expression driving is an important topic.The research addresses these issues by constructing a 3D animated expression-driven model that incorporates an adaptive regression model and video facial tracking.Firstly,the 3D shape regression model and local constraint model are compared with the model method,and then their running time and accuracy are analyzed.Finally,the single frame running consumption time and model accuracy are calcu-lated to verify the feasibility of the model method in 3D animation expression driving.