Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Machine Vision and Applications
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
A Rational Function Lens Distortion Model for General Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2007 papers
A new calibration model of camera lens distortion
Pattern Recognition
International Journal of Computer Vision
An Algebraic Approach to Lens Distortion by Line Rectification
Journal of Mathematical Imaging and Vision
Calibration of Lens Distortion Based on Plane Constraints
ICDIP '09 Proceedings of the International Conference on Digital Image Processing
A Simple Method of Radial Distortion Correction with Centre of Distortion Estimation
Journal of Mathematical Imaging and Vision
Robust metric calibration of non-linear camera lens distortion
Pattern Recognition
Camera distortion self-calibration using the plumb-line constraint and minimal Hough entropy
Machine Vision and Applications
Self-calibration of a general radially symmetric distortion model
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Morphological thick line center detection
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
A Least Squares Solution for Camera Distortion Parameters
Journal of Mathematical Imaging and Vision
Camera calibration in sport event scenarios
Pattern Recognition
Pattern Recognition Letters
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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.