Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Stratified Self-Calibration with the Modulus Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - 1998 Marr Prize
Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
Journal of Mathematical Imaging and Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Epipolar Geometry from Profiles under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Self-Calibration from the Absolute Conic on the Plane at Infinity
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
Proceedings of the 24th DAGM Symposium on Pattern Recognition
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)
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)
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Euclidean Reconstruction from Constant Intrinsic Parameters
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Resolving Ambiguities of Self-Calibration in Turntable Motion
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Real Time Pattern Matching Using Projection Kernels
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Field calibration method of camera for measuring the dimensions of large forging
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
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Self-calibration for imaging sensors is essential to many computer vision applications. In this paper, a new stratified self-calibration method is proposed for a camera undergoing circular motion with varying intrinsic parameters. It is shown that the plane at infinity in a projective frame can be identified by (i) known rotation angles between any two views and (ii) square pixel assumption of the camera. Once the plane at infinity is identified, the calibration matrices of the cameras and the upgrade to a metric reconstruction can be readily obtained. The proposed method is rather flexible in that it allows not only the focal length but also the principal point to vary from image to image. Experimental results for both synthetic data and real images are provided to show the performance of the proposed method.