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| calibration of central catadioptric camera with one-dimensional object undertaking general motions | |
Deng Xiaoming ; Wu Fuchao; Wu Yihong; Chang Liang; Liu Wei; Wang Hongan
| |
| 2011 | |
| Conference Name | 2011 18th IEEE International Conference on Image Processing, ICIP 2011 |
| Source | Proceedings - International Conference on Image Processing, ICIP |
| Pages | 637-640 |
| Conference Date | September |
| Conference Place | Brussels, Belgium |
| Indexed Type | EI |
| ISSN | 1522-4880 |
| ISBN | 9781457713033 |
| Department | (1) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China; (2) National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China; (3) College of Information Science and Technology Beijing Normal University China |
| English Abstract | A 1D object is a segment with several known-distance markers, and calibration methods with 1D objects are more flexible than those with 2D/3D objects. Under the pinhole camera model, it is proved that the calibration with free-moving 1D objects is not possible. For a central catadioptric camera setup, can the camera be calibrated by a 1D object under general motions? In this paper, we prove that a central catadioptric camera can indeed be calibrated, and propose a catadiop-tric camera calibration method using 1D objects undertaking general motions. The proposed method consists of two steps. Firstly, the principal point is calculated with geometric invariants under catadioptric camera model; Secondly, we use images of 1D object to calibrate the focal lengths, skew factor and mirror parameter. The method needs neither prior knowledge of catadioptric parameters nor conic fitting, and it is linear, which makes it easy to implement. Experiments demonstrate its usefulness and stability. © 2011 IEEE.; A 1D object is a segment with several known-distance markers, and calibration methods with 1D objects are more flexible than those with 2D/3D objects. Under the pinhole camera model, it is proved that the calibration with free-moving 1D objects is not possible. For a central catadioptric camera setup, can the camera be calibrated by a 1D object under general motions? In this paper, we prove that a central catadioptric camera can indeed be calibrated, and propose a catadiop-tric camera calibration method using 1D objects undertaking general motions. The proposed method consists of two steps. Firstly, the principal point is calculated with geometric invariants under catadioptric camera model; Secondly, we use images of 1D object to calibrate the focal lengths, skew factor and mirror parameter. The method needs neither prior knowledge of catadioptric parameters nor conic fitting, and it is linear, which makes it easy to implement. Experiments demonstrate its usefulness and stability. © 2011 IEEE. |
| Keyword | Calibration Image Processing |
| Sponsorship | IEEE; IEEE Signal Processing Society |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16246 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Deng Xiaoming,Wu Fuchao,Wu Yihong,et al. calibration of central catadioptric camera with one-dimensional object undertaking general motions[C],2011:637-640. |
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