Term of Award

Summer 2025

Degree Name

Master of Science, Computer Science (M.S.C.S.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Department

Department of Computer Science

Committee Chair

Andrew Allen

Committee Member 1

Ryan Florin

Committee Member 2

Weitian Tong

Committee Member 3

Andrew Allen

Abstract

The field of computer vision has numerous applications of the real-world to pixel coordinate conversion. Related fields of machine learning, artificial intelligence, virtual reality, and augmented reality share similar benefits. My contribution involves assessing the accuracy of multiple coordinate conversion methods through experimentation. The Focal Length Calibration method allows for manual calibration using the scale factor. I have concluded that manual camera calibration causes the greatest improvements to accuracy when the method focuses on every point in the image. Methods that localize accuracy still increase accuracy, but not to the same degree.

OCLC Number

1528849598

Research Data and Supplementary Material

No

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