Title :
Camera self-calibration from ellipse correspondences
Author :
Hu, Rong ; Ji, Qiang
Author_Institution :
Dept. of Comput. Sci., Nevada Univ., Reno, NV, USA
Abstract :
We introduce a new technique for camera self-calibration using ellipse correspondences. Based on an analysis of ellipse matches between the images obtained from the same viewpoint but with different and unknown view directions, our approach estimates the intrinsic camera parameters. We present both linear and nonlinear solutions to recovering intrinsic camera parameters. The algorithm´s performance is validated extensively using both synthetic and real image data. Compared with similar techniques but using points, we observe a comparable performance. The use of ellipses, however, greatly simplifies feature matching between images, improves matching accuracy, and avoids mismatch.
Keywords :
calibration; image matching; parameter estimation; robot vision; self-adjusting systems; camera; ellipse correspondences; image matching; parameter estimation; robot vision; self-calibration; Automatic testing; Calibration; Cameras; Computer science; Image reconstruction; Layout; Robot vision systems; Robustness; Shape; Stereo image processing;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.932948