A theory of self-calibration of a moving camera
International Journal of Computer Vision
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 Stationary Cameras
International Journal of Computer Vision
Kruppa's Equations Derived from the Fundamental Matrix
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Robust detection of degenerate configurations while estimating the fundamental matrix
Computer Vision and Image Understanding
Stratified Self-Calibration with the Modulus Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - 1998 Marr Prize
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Self-Calibration from Image Triplets
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Survey of Camera Self-Calibration
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Camera Autocalibration and Horopter Curves
International Journal of Computer Vision
Reconstruction of structured scenes from two uncalibrated images
Pattern Recognition Letters
The Absolute Line Quadric and Camera Autocalibration
International Journal of Computer Vision
Self-calibration from one circular motion sequence and two images
Pattern Recognition
Camera self-calibration under the constraint of distant plane
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Linear auto-calibration for ground plane motion
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
The Distinction between Virtual and Physical Planes Using Homography
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
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Camera calibration is an indispensable step in retrieving 3D metric information from 2D images. One classical self-calibration method is based on Kruppa equation derived from pairwise image correspondences. However, the calibration constraints derived from Kruppa equation are quadratic, which are computationally intensive and difficult to obtain initial values. In this paper, we propose a new initialization algorithm to estimate the unknown scalar in the equation, thus the camera parameters can be initialized linearly in a closed form and then optimized iteratively via the Kruppa constraints. We prove that the scalar can be uniquely recovered from the infinite homography and propose a practical method to estimate the homography from a physical or virtual plane located at far distance to the camera. Extensive experiments on synthetic and real images validate the effectiveness of the proposed method.