Abstract
This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.
| Original language | English |
|---|---|
| Title of host publication | Robot Vision - International Workshop RobVis 2001, Proceedings |
| Editors | Shmuel Peleg, Reinhard Klette, Gerald Sommer |
| Publisher | Springer Verlag |
| Pages | 245-251 |
| Number of pages | 7 |
| ISBN (Print) | 3540416943 |
| Publication status | Published - 2001 Jan 1 |
| Event | International Workshop on Robot Vision, RobVis 2001 - Auckland, New Zealand Duration: 2001 Feb 16 → 2001 Feb 18 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1998 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | International Workshop on Robot Vision, RobVis 2001 |
|---|---|
| Country | New Zealand |
| City | Auckland |
| Period | 01/2/16 → 01/2/18 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Baltes, H. J. (2001). Camera calibration using rectangular textures. In S. Peleg, R. Klette, & G. Sommer (Eds.), Robot Vision - International Workshop RobVis 2001, Proceedings (pp. 245-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1998). Springer Verlag.