Research on 3D animation character design based on multimedia interaction

Abstract

Aiming at the low intelligence, low interaction performance and low efficiency of traditional 3D animation characters in multimedia interaction, this paper designs a multimedia scene model and a 3D animation role agent based on the multimedia interaction model of Computer Supported Cooperative work, and designs a multimedia scene model and a 3D animation role agent through 3DS Max. In order to make Agent more intelligent in multimedia interaction, a deep Q-Learning neural network model is introduced in this paper. Through this model, the reinforcement learning of 3D animation role agent in multimedia interaction scenarios is introduced. Taking basketball games as an example, multimedia interactive scenes and 3D animation role agent are constructed by using 3DS Max software. In the subsequent comparative experiments, it is proved that the deep Q-Learning neural network model constructed in this paper is more suitable for 3D animation role agent in multimedia interactive environment. It makes 3D animation characters more suitable for multimedia interaction, and builds higher performance and efficiency of intelligent interactive action.