Research on the Technology of Generating Parametric Continuous Images of Comic Strip in Virtual Reality Environment Based on Machine Algorithm

This thesis explores the feasibility of parametric continuity image generation for comic strips by combining virtual reality technology with machine learning algorithms. In order to promote the development and inheritance of comic strips, we propose to establish an intelligent database of continuous virtual images of comic strips, and use virtual reality technology to apply and experience real users. At the same time, the flexibility and adaptability of machine learning algorithms enable them to be deployed in the analysis, classification and discovery of comic strips by integrating differentiation and acquisition biometric methods. Through the parametric continuous image generated based on machine learning algorithm, we can adjust different parameter settings to achieve the generation of different styles and effects to meet the personalized needs of users. This study holds that the combination of virtual reality and machine learning provides an indispensable path for the modern application of excellent traditional culture, so as to protect and inherit the treasures of Chinese comic strips. Keywords: machine algorithms, Virtual reality, computer vision, parameterization, continuous images.