Radial Distortion from Epipolar Constraint for Rectilinear Cameras
AbstractLens distortion causes difficulties for 3D reconstruction, when uncalibrated image sets with weak geometry are used. We show that the largest part of lens distortion, known as the radial distortion, can be estimated along with the center of distortion from the epipolar constraint separately and before bundle adjustment without any calibration rig. The estimate converges as more image pairs are added. Descriptor matched scale-invariant feature (SIFT) point pairs that contain false matches can readily be given to our algorithm, EPOS (EpiPOlar-based Solver), as input. The processing is automated to the point where EPOS solves the distortion whether its type is barrel or pincushion or reports if there is no need for correction. View Full-Text
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Lehtola, V.V.; Kurkela, M.; Rönnholm, P. Radial Distortion from Epipolar Constraint for Rectilinear Cameras. J. Imaging 2017, 3, 8.
Lehtola VV, Kurkela M, Rönnholm P. Radial Distortion from Epipolar Constraint for Rectilinear Cameras. Journal of Imaging. 2017; 3(1):8.Chicago/Turabian Style
Lehtola, Ville V.; Kurkela, Matti; Rönnholm, Petri. 2017. "Radial Distortion from Epipolar Constraint for Rectilinear Cameras." J. Imaging 3, no. 1: 8.
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