Award Date


Degree Type


Degree Name

Master of Science (MS)


Computer Science

First Committee Member

Evangelos A. Yfantis

Number of Pages



In this thesis, we develop a new camera calibration algorithm for use in the NASA Virtual G1oveBox (VGX) Human Computer Interaction (HCI) System. The developed algorithm is based on the geometric properties of perspective projections and provides a closed form solution for all the camera parameters. The accuracy of the calibration is evaluated in the context of the NASA Virtual GloveBox and the results indicate that accuracy similar to other more complex and computationally expensive calibration methods can be achieved using our algorithm. Camera calibration is an initial step in many computer vision applications. Computer vision refers to the automatic extraction of information about a scene based on images of it. The task of camera calibration is to estimate the camera parameters which in turn allow us to infer metric information about a scene from images of it.


Calibration; Camera; Glovebox; NASA; Project; Virtual

Controlled Subject

Computer science; Aerospace engineering

File Format


File Size

1320.96 KB

Degree Grantor

University of Nevada, Las Vegas




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