Design of Virtual Roaming System of Art Museum based on VR Technology

Abstract

This paper aims to explore a panoramic Mosaic algorithm combining particle swarm optimization (PSO) and mutual information (MI) to improve the immersion and interactive performance of the virtual tour system of art museums. First, this paper introduces the application background of VR technology in the virtual art museum tour and emphasizes its importance in breaking the limitation of time and space and enhancing the audience's participation. Then, the application of the particle swarm optimization algorithm in image registration is described in detail. By simulating the foraging behavior of birds, the algorithm effectively solves the matching problem in the process of panoramic Mosaic. At the same time, mutual information is introduced as an index to evaluate image similarity, which further improves the accuracy and efficiency of stitching. Then, this paper proposes a virtual roaming framework based on the panoramic Mosaic algorithm, which can seamlessly integrate high-resolution artwork images and realize free navigation in 3D space through VR headsets. In addition, the system also supports various interaction modes, such as gesture control, speech recognition, etc., to meet the needs of different users. Finally, through a model simulation test, this paper shows the significant advantages of the designed virtual roaming system regarding visual effects and user experience. The experimental results show that the system can provide a highly realistic exhibition environment and enhance the audience's immersion through intelligent interaction. The system provides new ideas and technical support for the digital transformation of art museums.