Abstract
Lens distortion self-calibration estimates the distortion model using arbitrary images captured by a camera. The estimated model is then used to rectify images taken with the same camera. These methods generally use the fact that built environments are line dominated and these lines correspond to lines on the image when distortion is not present. The proposed method starts by detecting groups of lines whose real world correspondences are likely to be collinear. These line groups are rectified, then a novel error function is calculated to estimate the amount of remaining distortion. These steps are repeated iteratively until suitable distortion parameters are found. A feature selection method is used to eliminate the line groups that are not collinear in the real world. The method is demonstrated to successfully rectify real images of cluttered scenes in a fully automatic manner.
Original language | English |
---|---|
Title of host publication | 2016 24th European Signal Processing Conference, EUSIPCO 2016 |
Publisher | European Signal Processing Conference, EUSIPCO |
Pages | 938-942 |
Number of pages | 5 |
ISBN (Electronic) | 9780992862657 |
DOIs | |
Publication status | Published - 28 Nov 2016 |
Externally published | Yes |
Event | 24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary Duration: 28 Aug 2016 → 2 Sept 2016 |
Publication series
Name | European Signal Processing Conference |
---|---|
Volume | 2016-November |
ISSN (Print) | 2219-5491 |
Conference
Conference | 24th European Signal Processing Conference, EUSIPCO 2016 |
---|---|
Country/Territory | Hungary |
City | Budapest |
Period | 28/08/16 → 2/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Camera calibration
- Distortion rectification
- Plumbline method
- Radial distortion
- Self-calibration