Image Processing in Augmented Reality (AR) and Virtual Reality (VR)

Abstract

This study investigates sophisticated image processing algorithms required for augmented reality (AR) and virtual reality (VR) settings. Image registration, feature identification, object recognition, depth estimation, 3D reconstruction, and real-time rendering are assessed for accuracy, computational complexity, real-time performance, robustness, scalability, and memory utilization. Real-time rendering is shown to be ideal, with good accuracy (95%) and real-time speed (60 fps). GPU advances and algorithmic optimizations reduce computing needs. Future directions include AI integration, benchmarking, uniform frameworks, and domain-specific apps.