Landscape Virtual VR Simulation Reconstruction Based on Particle Swarm Optimization
摘要
Traditional VR (Virtual Reality) technology usually relies on a computer-generated virtual environment, rather than directly transmitting images of real landscape buildings to VR devices. Such generated images may have insufficient visual authenticity and cannot fully restore the real scene, resulting in low fidelity and user experience. This research develops a virtual VR reconstruction method of landscape architecture based on particle swarm algorithm to improve design quality and user experience. In this study, particle swarm algorithm is used as the optimization framework, combined with virtual reality technology, to realize the virtual VR reconstruction of landscape architectural design scheme. The experimental results show that the fidelity test result of this method is 95%-99%, and the virtual VR reconstruction method of landscape architecture based on particle swarm algorithm has achieved remarkable results in terms of design quality and user experience. The design scheme generated by this method has been significantly improved in terms of aesthetic evaluation, rationality of spatial layout and functionality.