The Integration of Virtual Reality and Augmented Reality Technology in Immersive Media Art

Abstract

With the rapid development of digital technology, immersive media art has gradually become a new field of integrating art and technology. This study focuses on integrating virtual reality (VR) and augmented reality (AR) technologies to explore the potential and practice of immersive media art creation. This paper proposes the Kalman filter algorithm to optimize the virtual-real fusion algorithm, which aims to improve the user's sense of immersion and realism when interacting with the virtual world. This study first analyzes the application status of augmented reality technology in media art and discusses the importance of natural features in the fusion of virtual reality. Then, this paper introduces in detail the virtual-real fusion technology based on the Kalman filter algorithm, which can effectively predict and filter noise and improve the accuracy and stability of scene fusion. Experiments are carried out in the system simulation by constructing the interaction model between the virtual environment and the natural scene. It verifies the effectiveness and feasibility of the algorithm. The simulation results show that the system using the Kalman filter algorithm improves the accuracy of virtual-real fusion by 20% compared with the traditional method, and the fluency of user interaction is also significantly increased. The technology proposed in this study can provide a richer and more authentic experience for immersive media art.

Keywords: media art, augmented reality, natural features, virtual-real fusion, kalman filtering algorithm