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20172021
most citedCoplanar Repeats by Energy Minimization

7 citations · 7 across the 2 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

BabelCalib: A Universal Approach to Calibrating Central Cameras

Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen +3

Existing calibration methods occasionally fail for large field-of-view cameras due to the non-linearity of the underlying problem and the lack of good initial values for all parame…

cs.CV2020

Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration

Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv +1

This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine recti…

cs.CV2019

Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

James Pritts, Zuzana Kukelova, Viktor Larsson +2

This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated…

cs.CV2019

Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales

James Pritts, Zuzana Kukelova, Viktor Larsson +2

This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from the image of rigidly-transformed coplanar features. The solvers…

cs.CV2018

Rectification from Radially-Distorted Scales

James Pritts, Zuzana Kukelova, Viktor Larsson +1

This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly transformed coplanar local features. The…

cs.CV20177 cited

Coplanar Repeats by Energy Minimization

James Pritts, Denys Rozumnyi, M. Pawan Kumar +1

This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combine…