Title
Calibration Of Central Catadioptric Camera With One-Dimensional Object Undertaking General Motions
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 catadioptric 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.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116632
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Keywords
Field
DocType
Camera calibration, 1D object
Computer vision,Object detection,Computer science,Camera auto-calibration,Image processing,Focal length,Camera resectioning,Artificial intelligence,Conic section,Pinhole camera model,Catadioptric system
Conference
Volume
Issue
ISSN
null
null
1522-4880
Citations 
PageRank 
References 
4
0.50
9
Authors
6
Name
Order
Citations
PageRank
Xiaoming Deng1687.59
Fuchao Wu263332.99
Yihong Wu339439.86
Liang Chang4395.01
Wei Liu537392.81
Hongan Wang664279.77