Title :
A new technique for camera self-calibration
Author :
Dai, Songtao ; Ji, Qiang
Author_Institution :
Dept. of Comput. Sci., Nevada Univ., NV, USA
Abstract :
Self camera calibration based on purely rotational movement of camera receives the most attention among different calibration methods. The purely rotational approach, however, assumes the camera rotates around its optical center, therefore yielding no translation. This assumption is not realistic since in practice the precise location of optical center is often unknown and rotation is often performed about an unknown but fixed point near the optical center. The rotation is therefore not pure in the sense that relative translation is introduced between two rotated camera frames. In this paper, we introduce a new rotation-based self camera calibration method, which explicitly accounts for the unknown translation. The problem is mathematically formulated and solved taking the translation into consideration. Experiments with both synthetic and real data show that the systemic errors from the ignorance of the translation can be effectively eliminated by our approach.
Keywords :
calibration; computer vision; self-adjusting systems; matched object points; projection models; relative translation; rotating camera; rotation; self-calibration; Calibration; Cameras; Computer errors; Computer science; Computer vision; Layout; Optical sensors; Robot kinematics; Robot vision systems; Systems engineering and theory;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.932944