Radial Distortion from Epipolar Constraint for Rectilinear Cameras

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Finnish Geospatial Research Institute

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.

Details

Original languageEnglish
Article number8
Pages (from-to)1-18
Number of pages18
JournalJournal of Imaging
Volume3
Issue number1
Publication statusPublished - 24 Jan 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • lens distortion, radial distortion, center of distortion, camera calibration, epipolar constraint, relative pose, fundamental matrix

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