Automated calibration and correction of radial lens distortion
| dc.contributor.author | Prescott, Blair | en_US |
| dc.date.accessioned | 2024-08-15T17:16:42Z | |
| dc.date.available | 2024-08-15T17:16:42Z | |
| dc.date.copyright | 1994 | en_US |
| dc.date.issued | 1994 | |
| dc.degree.department | Department of Mechanical Engineering | |
| dc.degree.level | Master of Applied Science M.A.Sc. | en |
| dc.description.abstract | Lens distortion is present in all cameras, especially when inexpensive lenses are used. Distortion can significantly affect geometrical image properties, degrading the performance of applications which use geometric measures , such as shape recognition, object tracking, robot guidance, and videometry. This thesis describes automated techniques to measure and correct for distortion using image feature extraction, optimization, and image warping. | en |
| dc.format.extent | 65 pages | |
| dc.identifier.uri | https://hdl.handle.net/1828/19342 | |
| dc.rights | Available to the World Wide Web | en_US |
| dc.title | Automated calibration and correction of radial lens distortion | en_US |
| dc.type | Thesis | en_US |
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