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| Content Provider | Springer Nature Link |
|---|---|
| Author | Sirisantisamrid, Kaset Tirasesth, Kitti Matsuura, Takenobu |
| Copyright Year | 2009 |
| Abstract | Most coplanar calibration algorithms determine the initial camera parameters from a single image under the assumption that the principal point is known in advance. However, the camera orientations, the shifted principal point and the noise corrupted on images have an influence on the estimated initial camera parameters under the above assumption. This paper proposes a useful method to determine the initial camera parameters for coplanar calibration. The proposed method can determine the initial camera parameters from the single image, wherein the principal point is considered as a parameter. In our experiments, both synthetic and real images are used. The experimental results show that the proposed method provides both stable initial camera parameters and noise robustness for changes of camera orientations, noise levels and shifts of principal point. |
| Starting Page | 777 |
| Ending Page | 787 |
| Page Count | 11 |
| File Format | |
| ISSN | 15986446 |
| Journal | International Journal of Control, Automation and Systems |
| Volume Number | 7 |
| Issue Number | 5 |
| e-ISSN | 20054092 |
| Language | English |
| Publisher | Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers |
| Publisher Date | 2009-10-08 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Camera orientation coplanar calibration initial camera parameters principal point Control Robotics Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications |
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