A Strategic Study of (Anhui Province) Opera Non-Heritage in Dynamic Graphics Based on Interaction Design and Virtual Imaging Principles

In recent years, deep learning and artificial intelligence technologies play an important role in virtual imaging. Through neural networks and deep learning algorithms, more accurate and efficient virtual imaging generation can be realized to enhance the realism and fidelity of virtual environments. The state’s emphasis on intangible cultural heritage has promoted the protection and development of the art of opera. The core objective of this study is to innovatively present the artistic expression of Anhui Province’s opera-based non-heritage through interactive design and virtual imaging technology. By designing interactive and immersive digital experiences, we enhance the attractiveness and dissemination of the opera culture, and promote the inheritance and innovation of the non-heritage culture in the modern society. This paper analyzes and researches the dynamic graphics of opera in depth based on the big data algorithm of interaction design. Combining modern technology and traditional algorithms, the heritage of non-heritage and modern big data hotspots are combined and integrated research and analysis. Anhui Province as a key region of the cultural heritage of opera, the inheritance of culture more should get better technical support, which is also the great significance of this paper to carry out integration research.