Dynamic Partitioning of 3D Scenes into User-Bounding Boxes for Immersive Metaverse Experience

The partitioning of 3-dimensional environments into user-specific bounding boxes, accompanied by immersive audio and visual experiences, presents a significant challenge in virtual and augmented reality systems. This study examines methods for the adaptive segmentation and management of virtual environments to improve user interaction and immersion. The system utilizes spatial partitioning algorithms such as octrees, Voronoi diagrams, and bounding volume hierarchies to dynamically allocate regions of 3D space according to the needs of individual users. Immersive audio experiences utilize directional sound rendering via Head-Related Transfer Functions and dynamic audio zones, whereas adaptive visual rendering incorporates techniques like level of detail, frustum culling, and real-time lighting adjustments. The proposed framework integrates AI-driven personalization, procedural content generation, and gesture-based interaction to establish context-aware and responsive environments. Synchronization among networked devices enables smooth transitions in multi-user environments, supported by edge computing and consensus algorithms. This research addresses the technical complexities of real-time dynamic partitioning and immersive multimodal experiences to enhance user engagement and redefine interaction paradigms in virtual spaces. The proposed solutions exhibit scalability and adaptability for use in gaming, training simulations, and collaborative metaverse environments.