In Defense of the Eight-Point Algorithm
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 visiond
Multiple view geometry in computer visiond
Correction to Construction of Panoramic Image Mosaics with Global and Local Alignment
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
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
Sensitivity of Calibration to Principal Point Position
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
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
Visual methods for three-dimensional modeling
Visual methods for three-dimensional modeling
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
The impact of radial distortion on the self-calibration of rotating cameras
Computer Vision and Image Understanding
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric calibration of digital cameras through multi-view rectification
Image and Vision Computing
Scene point constraints in camera auto-calibration: an implementational perspective
Image and Vision Computing
Methods and geometry for plane-based self-calibration
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Feature correspondences from multiple views of coplanar ellipses
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Self-calibration from Planes Using Differential Evolution
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Topological maps based on graphs of planar regions
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Distributed multi-camera visual mapping using topological maps of planar regions
Pattern Recognition
New stereovision self-calibration method and its application in vision guided approaching
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part III
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Plane-based self-calibration aims at the computation of camera intrinsic parameters from homographies relating multiple views of the same unknown planar scene. This paper proposes a straightforward geometric statement of plane-based self-calibration, through the concept of metric rectification of images. A set of constraints is derived from a decomposition of metric rectification in terms of intrinsic parameters and planar scene orientation. These constraints are then solved using an optimization framework based on the minimization of a geometrically motivated cost function. The link with previous approaches is demonstrated and our method appears to be theoretically equivalent but conceptually simpler. Moreover, a solution dealing with radial distortion is introduced. Experimentally, the method is compared with plane-based calibration and very satisfactory results are obtained. Markerless self-calibration is demonstrated using an intensity-based estimation of the inter-image homographies.