Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Automatic Model Construction and Pose Estimation From Photographs Using Triangular Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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 Image Triplets
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
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
Circular Motion Geometry Using Minimal Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Outward-Looking Circular Motion Analysis of Large Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Circular Motion Geometry in Spite of Varying Intrinsic Parameters
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Geometry of single axis motions using conic fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Self-calibration for imaging sensors is essential to many computer vision applications. In this paper, a new stratified self-calibration and metric reconstruction method is proposed for zooming/refocusing cameras under circular motion. With the assumption of known rotation angles, the circular motion constraints are first formulated. By enforcing the constraints gradually, metric reconstruction is retrieved up to a two-parameter ambiguity. The closed form expression of the absolute conic w.r.t. the two parameters is deduced. The ambiguity is then resolved with the square pixel assumption of the camera. The advantages of this method are mainly as follows: It gives precise results by defining and enforcing the circular motion constraints; It is flexible that it allows both the focal lengths and the principal point to vary;It requires no scene constraint. Experimental results with both synthetic data and real images are presented, demonstrating the accuracy and robustness of the new method.