Conic Reconstruction and Correspondence From Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Reconstruction of General Curves, Using Factorization and Bundle Adjustment
International Journal of Computer Vision
On Calibration and Reconstruction from Planar Curves
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Ellipsoid Reconstruction from Three Perspective Views
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Multiple View Geometry of General Algebraic Curves
International Journal of Computer Vision
Projective Reconstruction from Multiple Views with Minimization of 2D Reprojection Error
International Journal of Computer Vision
Projective reconstruction of ellipses from multiple images
Pattern Recognition
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In this paper, we propose a new 3D reconstruction method for general 3D planar curves based on curve correspondences on two views. By fitting the measured and transferred points using spline curves and minimizing the 2D Euclidean distance from measured and transferred points to fitted curves, we obtained an optimum homography which relates the curves across two views. Once two or more homographies are computed, 3D projective reconstruction of those curves can be readily performed. The method offers the flexibility to reconstruct 3D planar curves without the need of point-to-point correspondences, and deals with curve occlusions automatically.