Title
Accurate Depth Dependent Lens Distortion Models: An Application to Planar View Scenarios
Abstract
In order to calibrate cameras in an accurate manner, lens distortion models have to be included in the calibration procedure. Usually, the lens distortion models used in camera calibration depend on radial functions of image pixel coordinates. Such models are well-known, simple and can be estimated using just image information. However, these models do not take into account an important physical constraint of lens distortion phenomena, namely: the amount of lens distortion induced in an image point depends on the scene point depth with respect to the camera projection plane. In this paper we propose a new accurate depth dependent lens distortion model. To validate this approach, we apply the new lens distortion model to camera calibration in planar view scenarios (that is 3D scenarios where the objects of interest lie on a plane). We present promising experimental results on planar pattern images and on sport event scenarios. Nevertheless, although we emphasize the feasibility of the method for planar view scenarios, the proposed model is valid in general and can be used in any scenario where the point depth can be estimated.
Year
DOI
Venue
2011
https://doi.org/10.1007/s10851-010-0226-2
Journal of Mathematical Imaging and Vision
Keywords
Field
DocType
Camera calibration,Distortion model,Depth dependence,3D scenarios
Distortion (optics),Computer vision,Planar,Camera resectioning,Pixel,Artificial intelligence,Projection plane,Calibration,Focus (optics),Mathematics
Journal
Volume
Issue
ISSN
39
1
0924-9907
Citations 
PageRank 
References 
10
0.67
18
Authors
3
Name
Order
Citations
PageRank
L. Alvarez128539.37
Luis Gómez2494.90
J. Rafael Sendra362168.33