calibration of central catadioptric camera with one-dimensional object undertaking general motions

ISCAS OpenIR

	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
会议名称	2011 18th IEEE International Conference on Image Processing, ICIP 2011
会议录名称	Proceedings - International Conference on Image Processing, ICIP
页码	637-640
会议日期	September
会议地点	Brussels, Belgium
收录类别	EI
ISSN	1522-4880
ISBN	9781457713033
部门归属	(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
摘要	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.
关键词	Calibration Image Processing
主办者	IEEE; IEEE Signal Processing Society
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16246
专题	中国科学院软件研究所
推荐引用方式 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.