Interactive Optimization of 3D Interface In Digital Media

Abstract

In order to improve the interaction performance between users and 3D interface in digital media, the optimization of 3D interface interaction in digital media is studied. Based on the results of ray tracing rendering of 3D visual interface, the optimization model of 3D interface interaction in digital media is constructed by taking the visual attention allocation of the final layout of man-machine interface in digital media as the objective function, and man-machine constraints are added into genetic algorithm. In the process of solving the model optimization problem, the genetic algorithm negates the gene that does not carry the man-machine constraint characteristics, and uses the particle swarm optimization algorithm to optimize the genetic algorithm, so that the genetic algorithm can quickly obtain the optimal solution of the optimization model. The experimental results show that this method can improve the user's gaze time for digital media software, and the user’s satisfaction with the use of the software is high.