Paper Info
Title
Camera Calibration from Symmetry
Abstract
Summary. This paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e. aspect ratio, focal length and principal point) of a camera, and is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique has been introduced which is based on the symme- try of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g. bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that 2 images of surface of revolution will provide enough information for determining the aspect ratio, focal length and principal point of a camera. An analytical error model is developed, providing variances and confi- dence intervals of the parameters estimated. The techniques presented in this paper have been implemented and tested with both synthetic and real data. Experiment results show that the camera calibration method presented here is both practical and accurate.
Year
DOI
Venue
2000
10.1007/978-1-4471-0495-7_14
IMA Conference on the Mathematics of Surfaces
Keywords
Field
DocType
camera calibration,aspect ratio,parameter estimation,surface of revolution,motion estimation
Computer vision,Pinhole camera,Camera auto-calibration,Focal length,Camera resectioning,Artificial intelligence,Camera matrix,Motion estimation,Calibration,Mathematics,Pinhole camera model
Conference
ISBN
Citations 
PageRank 
1-85233-358-8
5
0.51
References 
Authors
9
3
Name
Order
Citations
PageRank
Kwan-Yee Kenneth Wong151.52
Paulo R. S. Mendonça261050.38
Roberto Cipolla39413827.88