IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A theory of self-calibration of a moving camera
International Journal of Computer Vision
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Some Aspects of Zoom Lens Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Line-based correction of radial lens distortion
Graphical Models and Image Processing
True Multi-Image Alignment and Its Application to Mosaicing and Lens Distortion Correction
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - 1998 Marr Prize
Accurate and simple geometric calibration of multi-camera systems
Signal Processing
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonmetric Calibration of Wide-Angle Lenses and Polycameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration from Surfaces of Revolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Do We Really Need an Accurate Calibration Pattern to Achieve a Reliable Camera Calibration?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Autocalibration from Planar Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Calibration Procedure for Short Focal Length Off-the-Shelf CCD-Cameras
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Camera Calibration and Relative Pose Estimation from Gravity
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A fast parametric motion estimation algorithm with illumination and lens distortion correction
IEEE Transactions on Image Processing
Plane-based camera self-calibration by metric rectification of images
Image and Vision Computing
Simple camera calibration from a single image using five points on two orthogonal 1-D objects
IEEE Transactions on Image Processing
Computers and Electronics in Agriculture
Adaptive implicit-camera calibration in photogrammetry using anfis
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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This paper introduces a new and very effective method for high-precision geometric calibration of digital cameras. The internal and external geometry are estimated: (1) by extracting features with subpixel accuracy from various views of a planar calibration plate; and (2) by mapping these feature sets into the corresponding points of the undistorted and rectified image that would be generated by an ideal pinhole digital camera with the same focal length as the camera to calibrate but devoid of lens distortion and perspective warp. The rectification of the views is formulated as a nonlinear least-squares optimization problem where a quadratic cost function expressing the residual registration error has to be minimized. The views are first prealigned with the reference image by means of a simplified mathematical model. This initialization, together with the closed-form computation of the gradient of the cost function, allows the Levenberg-Marquardt algorithm employed to find its minimum to rapidly converge to the optimal solution. The performance of the new calibration algorithm is tested with a set of real images available on the Internet and discussed in the paper. Also, its accuracy is assessed by means of synthetic versions of the actual images generated with the estimated parameters.