Abstract
The computation of the intrinsic camera parameters is one of the most important issues in computer vision. The traditional way to compute the intrinsic parameters is using a known calibration object. One of the most important methods is based on the absolute conic and it requires as input only information about the point correspondences [158, 103]. As extension a recent approach utilizes the absolute quadric [228]. Other important groups of selfcalibration methods either reduce the complexity if the camera motion is known in advance, for example as translation [66], or as rotation about known angles [5, 67], or by using active strategies and e.g. the vanishing point [56].
This work has been supported by DFG So-320-2-1
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bayro-Corrochano, E., Rosenhahn, B. (2001). Analysis and Computation of the Intrinsic Camera Parameters. In: Sommer, G. (eds) Geometric Computing with Clifford Algebras. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04621-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-662-04621-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07442-4
Online ISBN: 978-3-662-04621-0
eBook Packages: Springer Book Archive