Date of Award
3-2022
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Clark N. Taylor, PhD
Abstract
The Visual Localization problem is the question of how to use visual information to determine the location of the camera that captured that data. The wide availability and low price of RGB cameras has made this useful in many fields such as SLAM, SAM and AR. This research seeks to determine if a BOVW can adequately overcome repetitious features in indoor environments and be effectively incorporated into a VL pipeline.
AFIT Designator
AFIT-ENG-MS-22-M-057
DTIC Accession Number
AD1166918
Recommended Citation
Rinaldi, Joshua A., "Monocular Camera Localization Using a Bag of Visual Words from Virtual World Data" (2022). Theses and Dissertations. 5328.
https://scholar.afit.edu/etd/5328