This thesis examines a variety of rendering optimization techniques for large graph visualizations in augmented reality (AR) on iOS devices using Metal. The research addresses the performance limitations of general-purpose rendering frameworks when visualizing large data structures with thousands of nodes and edges. The work introduces DrawKit, a custom rendering framework with stripped-down node representations designed specifically for efficient AR graph visualization.
The thesis is devoted to the study of possibilities of the 3D object creation from the real-life surroundings on the Apple iOS platform. The research is based on the development of a mobile application for the iOS operating system for 3D model creation of the surroundings via the help of the LiDAR Scanner.