A theory of self-calibration of a moving camera
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
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stratified Self-Calibration with the Modulus Constraint
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
A New Autocalibration Algorithm: Experimental Evaluation
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Kruppa Equation Revisited: Its Renormalization and Degeneracy
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Euclidean Reconstruction from Constant Intrinsic Parameters
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Self-calibration with two views using the scale-invariant feature transform
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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In this paper, an original and simplified formulation ofthe Kruppaýs equations is presented. This formulation isparticularly of interest when only two images are available.Indeed, given two images taken with a camera with zeroskew and known principal point, we show that there areonly three possible solutions for the horizontal and verticalscale factors instead of four as widely believed so far. Inaddition, when the aspect ratio is unity, the horizontal andvertical scale factors are equal and the solution is uniqueand straightforward. No additional knowledge on the sceneis required.The issues of refining the solution and the influence ofthe principal point are addressed and discussed in our experiments.