Author ORCID Identifier
https://orcid.org/0009-0001-0405-9910
Date of Award
Spring 6-4-2024
Document Type
Thesis (Undergraduate)
Department
Computer Science
First Advisor
James Mahoney
Abstract
Image target tracking is a technique widely used in a variety of augmented reality (AR) applications to trigger AR interaction and accurately locate virtual objects relative to physical space. This project is a Unity image tracking pipeline based on the ORB feature detection and description technique that seeks to be robust enough to track images despite partial occlusion, uneven lighting, and image target depth. This pipeline employs compute shader code to conduct image tracking computations on the GPU to track images in real-time for mobile AR apps.
Recommended Citation
Chen, Andrew Wang, "Shader-based Real-time Image Tracking for Mobile Augmented Reality" (2024). Computer Science Senior Theses. 27.
https://digitalcommons.dartmouth.edu/cs_senior_theses/27
