Conics-based stereo, motion estimation, and pose determination
International Journal of Computer Vision
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
On Calibration and Reconstruction from Planar Curves
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Linear Pose Estimation from Points or Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Conic Correspondences in Two Images to Estimate the Epipolar Geometry
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An Efficient Solution to the Five-Point Relative Pose Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euclidean structure from N ≥ 2 parallel circles: theory and algorithms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Motion estimation between two views especially from a minimal set of features is a central problem in computer vision. Although algorithms for computing the motion between two calibrated cameras using point features exist, there is up to now no solution for a scenario employing just circles in space. For this task a minimal and linear solver is presented using only two arbitrary circles. It is shown that the derived algorithm is not hampered by critical configurations. Here, the problem of relative pose estimation is cast into a combined reconstruction plus absolute orientation algorithm. Thus, even for small or vanishing translations the relative pose between cameras can be computed in a stable manner within a single algorithm.