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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
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.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.