Using vanishing points for camera calibration
International Journal of Computer Vision
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
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three D-Dynamic Scene Analysis: A Stereo Based Approach
Three D-Dynamic Scene Analysis: A Stereo Based Approach
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Autocalibration from Planar Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Camera Calibration with One-Dimensional Objects
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Machine Vision and Applications
Self-calibration from turn-table sequences in presence of zoom and focus
Computer Vision and Image Understanding
Camera calibration and light source orientation from solar shadows
Computer Vision and Image Understanding
Camera calibration based on receptive fields
Pattern Recognition
Camera Calibration from Images of Spheres
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new calibration model of camera lens distortion
Pattern Recognition
A Simple Shadow Based Method for Camera Calibration
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Motion Recovery for Uncalibrated Turntable Sequences Using Silhouettes and a Single Point
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Camera calibration based on arbitrary parallelograms
Computer Vision and Image Understanding
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution
International Journal of Computer Vision
Robust Factorization Methods Using a Gaussian/Uniform Mixture Model
International Journal of Computer Vision
Cayley Transformation and Numerical Stability of Calibration Equation
International Journal of Computer Vision
Self-calibration from turn-table sequences in presence of zoom and focus
Computer Vision and Image Understanding
Revisiting Zhang's 1D calibration algorithm
Pattern Recognition
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Applications of projected circle centers in camera calibration
Machine Vision and Applications
Simple camera calibration from a single image using five points on two orthogonal 1-D objects
IEEE Transactions on Image Processing
Camera calibration and geo-location estimation from two shadow trajectories
Computer Vision and Image Understanding
GPS coordinates estimation and camera calibration from solar shadows
Computer Vision and Image Understanding
Euclidean Upgrading from Segment Lengths
International Journal of Computer Vision
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Ellipse constraints for improved wide-baseline feature matching and reconstruction
IWCIA'11 Proceedings of the 14th international conference on Combinatorial image analysis
A global optimal algorithm for camera calibration with one-dimensional objects
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Camera calibration from a single frame of planar pattern
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Camera calibration of a Nintendo Wii remote using PA-10 robotic arms
EGVE'08 Proceedings of the 14th Eurographics conference on Virtual Environments
Estimating principal point and nonlinear parameters of camera from a planar calibration image
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
A linear method for determining intrinsic parameters from two parallel line-segments
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
A new method for camera stratified self-calibration under circular motion
The Visual Computer: International Journal of Computer Graphics
Image and Vision Computing
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Camera calibration has been studied extensively in computer vision and photogrammetry and the proposed techniques in the literature include those using 3D apparatus (two or three planes orthogonal to each other or a plane undergoing a pure translation, etc.), 2D objects (planar patterns undergoing unknown motions), and 0D features (self-calibration using unknown scene points). Yet, this paper proposes a new calibration technique using 1D objects (points aligned on a line), thus filling the missing dimension in calibration. In particular, we show that camera calibration is not possible with free-moving 1D objects, but can be solved if one point is fixed. A closed-form solution is developed if six or more observations of such a 1D object are made. For higher accuracy, a nonlinear technique based on the maximum likelihood criterion is then used to refine the estimate. Singularities have also been studied. Besides the theoretical aspect, the proposed technique is also important in practice especially when calibrating multiple cameras mounted apart from each other, where the calibration objects are required to be visible simultaneously.