Radial Distortion from Epipolar Constraint for Rectilinear Cameras

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Radial Distortion from Epipolar Constraint for Rectilinear Cameras. / Lehtola, Ville V.; Kurkela, Matti; Rönnholm, Petri.

In: Journal of Imaging, Vol. 3, No. 1, 8, 24.01.2017, p. 1-18.

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@article{874dad93fbc148249eafb02f25091707,
title = "Radial Distortion from Epipolar Constraint for Rectilinear Cameras",
abstract = "Lens 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.",
keywords = "lens distortion, radial distortion, center of distortion, camera calibration, epipolar constraint, relative pose, fundamental matrix",
author = "Lehtola, {Ville V.} and Matti Kurkela and Petri R{\"o}nnholm",
year = "2017",
month = "1",
day = "24",
doi = "10.3390/jimaging3010008",
language = "English",
volume = "3",
pages = "1--18",
journal = "Journal of Imaging",
issn = "2313-433X",
publisher = "MDPI AG",
number = "1",

}

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TY - JOUR

T1 - Radial Distortion from Epipolar Constraint for Rectilinear Cameras

AU - Lehtola, Ville V.

AU - Kurkela, Matti

AU - Rönnholm, Petri

PY - 2017/1/24

Y1 - 2017/1/24

N2 - Lens 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.

AB - Lens 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.

KW - lens distortion

KW - radial distortion

KW - center of distortion

KW - camera calibration

KW - epipolar constraint

KW - relative pose

KW - fundamental matrix

U2 - 10.3390/jimaging3010008

DO - 10.3390/jimaging3010008

M3 - Article

VL - 3

SP - 1

EP - 18

JO - Journal of Imaging

JF - Journal of Imaging

SN - 2313-433X

IS - 1

M1 - 8

ER -

ID: 10589535