Thesis Abstract

This project aims to optimize computer vision algorithms for augmented reality (AR) applications to enhance real-time object recognition and tracking performance. The project will focus on improving the accuracy and efficiency of computer vision algorithms, such as feature detection, object localization, and pose estimation, to enable seamless integration of virtual objects into the physical environment. By optimizing these algorithms, the project seeks to advance the capabilities of AR applications in various domains, including gaming, education, and industrial training, where precise and responsive AR experiences are essential.

Thesis Overview