A theory of self-calibration of a moving camera
International Journal of Computer Vision
Active vision
Active Camera Calibration for a Head-Eye Platform Using the Variable State-Dimension Filter
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Lines and Points in Three Views and the Trifocal Tensor
International Journal of Computer Vision
Computer Vision and Image Understanding
Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
A Case Against Kruppa's Equations for Camera Self-Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Calibration from Rigid Motions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
International Journal of Computer Vision
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algebraic Functions For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active 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
Bayesian Self-Calibration of a Moving Camera
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
A Case Against Epipolar Geometry
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Error Analysis of a Real-Time Stereo System
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Metric calibration of a stereo rig
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
A linear method for reconstruction from lines and points
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Towards a Practical Stereo Vision Sensor
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
View synthesis using stereo vision
View synthesis using stereo vision
Tracking camera parameters of an active stereo rig
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Error compensation by sensor re-calibration in fringe projection based optical 3D stereo scanners
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Bundle adjustment for stereoscopic 3D
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Content-Based Pseudoscopic View Detection
Journal of Signal Processing Systems
Virtual Volumetric Graphics on Commodity Displays Using 3D Viewer Tracking
International Journal of Computer Vision
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This paper presents a consistent framework for continuous stereo self-calibration. Based on a practical analysis of the sensitivity of stereo reconstruction to camera calibration uncertainties, we identify important parameters for self-calibration. We evaluate different geometric constraints for estimation and tracking of these parameters: bundle adjustment with reduced structure representation relating corresponding points in image sequences, the epipolar constraint between stereo image pairs, and trilinear constraints between image triplets. Continuous, recursive calibration refinement is obtained with a robust, adapted iterated extended Kalman filter. To achieve high accuracy, physically relevant geometric optimization criteria are formulated in a Gauss-Helmert type model. The self-calibration framework is tested on an active stereo system. Experiments with synthetic data as well as on natural indoor and outdoor imagery indicate that the different constraints are complementing each other and thus a method combining two of the above constraints is proposed: While reduced order bundle adjustment gives by far the most accurate results (and might suffice on its own in some environments), the epipolar constraint yields instantaneous calibration that is not affected by independently moving objects in the scene. Hence, it expedites and stabilizes the calibration process.