Award Date

1-1-2004

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Evangelos A. Yfantis

Number of Pages

54

Abstract

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.

Keywords

Calibration; Camera; Glovebox; NASA; Project; Virtual

Controlled Subject

Computer science; Aerospace engineering

File Format

pdf

File Size

1320.96 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to digitalscholarship@unlv.edu and include clear identification of the work, preferably with URL.

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Download


Share

COinS