Date of Award


Degree Type


Degree Name

Master of Science in Computer Science


Computer Science and Statistics

First Advisor

Jean-Yves Hervé


Augmented Reality of an outdoor scene as a topic has gained a great deal of popularity in recent years. This work will focus on markerless hybrid Outdoor Augmented Reality (OAR) systems. In general OAR is performed through a classical statistical approach. Strong features are calculated from images of the object, located, and tracked in the scene. Gathering such features requires specialized knowledge of Computer Vision techniques; keeping OAR from finding commercial success. Model-based approaches rely less on previously gathered data, increasingly the accessibility of such techniques, but require extensive scene understanding to correctly parse the scene. The proposed model-based approach minimizes the required scene understanding allowing for augmentation of an environment with minimal input.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.