Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Implicit and Explicit Camera Calibration: Theory and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of the Quadrifocal Tensor
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Creating Image-Based VR Using a Self-Calibrating Fisheye Lens
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The Radial Trifocal Tensor: A Tool for Calibrating the Radial Distortion of Wide-Angle Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Towards Complete Generic Camera Calibration
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multi-View Geometry of 1D Radial Cameras and its Application to Omnidirectional Camera Calibration
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Estimation of omnidirectional camera model from epipolar geometry
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Self-calibration of a general radially symmetric distortion model
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Lens distortion correction using a checkerboard pattern
VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
A Simple Method of Radial Distortion Correction with Centre of Distortion Estimation
Journal of Mathematical Imaging and Vision
Equidistant (fθ) fish-eye perspective with application in distortion centre estimation
Image and Vision Computing
Correcting radial lens distortion by two-view point correspondences
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
3D Reconstruction from Multiple Images Part 1: Principles
Foundations and Trends® in Computer Graphics and Vision
Accurate camera calibration using the collinearity constraint
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Accurate Depth Dependent Lens Distortion Models: An Application to Planar View Scenarios
Journal of Mathematical Imaging and Vision
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Real-time image composition of bladder mosaics in fluorescence endoscopy
Computer Science - Research and Development
Robust radial distortion from a single image
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Integrating multiple views with virtual mirrors to facilitate scene understanding
ACM Transactions on Applied Perception (TAP)
International Journal of Computer Vision
Automated center of radial distortion estimation, using active targets
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Hand-eye calibration with epipolar constraints: Application to endoscopy
Robotics and Autonomous Systems
Automatic Radial Distortion Estimation from a Single Image
Journal of Mathematical Imaging and Vision
Unknown radial distortion centers in multiple view geometry problems
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Computer Methods and Programs in Biomedicine
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We propose a method of simultaneously calibrating the radial distortion function of a camera and the other internal calibration parameters. The method relies on the use of a planar (or, alternatively, nonplanar) calibration grid which is captured in several images. In this way, the determination of the radial distortion is an easy add-on to the popular calibration method proposed by Zhang [24]. The method is entirely noniterative and, hence, is extremely rapid and immune to the problem of local minima. Our method determines the radial distortion in a parameter-free way, not relying on any particular radial distortion model. This makes it applicable to a large range of cameras from narrow-angle to fish-eye lenses. The method also computes the center of radial distortion, which, we argue, is important in obtaining optimal results. Experiments show that this point may be significantly displaced from the center of the image or the principal point of the camera.