Reserch On Optimization Of Physics Simulation In VR-stylized Environment

Stylization and physical simulation,the former provides the artist with rich imagination space,and the latter gives the audience a real picture experience.Under the VR medium,how to find the balance between realism and stylization in VR stylized scenes,taking into account visual experience and performance factors,and finally achieve the improvement of immersion is an important research direction.This topic focuses on the optimization research of "Physical Simulation of VR Stylized Scenes".The author first gives the definition and characteristic induction of VR stylization and physical simulation,makes a clear division of the referential category,and determines the value of the combination of the two for VR immersion.Then,the author analyzes the immersion factors of narrative VR,clarifies the audience’s core appeal for VR experience,and analyzes the audience’s visual physiology and visual psychological immersion experience based on psychological theory,and puts forward the "hardware·audience·creator" three issues to be optimized.Finally,the author constructs the concept of "inside-outside" stylized scenes,guides the optimization strategy of physical simulation for different"inside-outside" scenes,and constructs a VR stylized scene-oriented VR simulation model from two levels of visual perception optimization and performance optimization.Eight optimization principles:enrich material performance,unify color tendency,match narrative space design,standardize stylized process,coordinate asset quality,prioritize light and shadow,balance scene performance,simplify parameter settings,and provide optimization guidance for subsequent creative practice.In the creation process of the VR work "Perfect Helper",the author first explained the basic information of the case and the case practice platform,summarized the practical research points,and then explained the design process and practical analysis one by one,and jointly completed the verification of the optimization principle.