activity
20192026
most citedMinimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

13 citations · 24 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

GeM-NR: Geometry-Aware Multi-View Editing for Nonrigid Scene Changes

Josef Bengtson, Yaroslava Lochman, Fredrik Kahl

Recent developments in multi-view image editing with generative models have brought us a step closer toward general 3D content generation and customization. Most existing works foc…

cs.CV2025

3D-Consistent Multi-View Editing by Correspondence Guidance

Josef Bengtson, David Nilsson, Dong In Lee +2

Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently often produce geometrically and photomet…

cs.CV2025

Making Rotation Averaging Fast and Robust with Anisotropic Coordinate Descent

Yaroslava Lochman, Carl Olsson, Christopher Zach

Anisotropic rotation averaging has recently been explored as a natural extension of respective isotropic methods. In the anisotropic formulation, uncertainties of the estimated rel…

cs.CV2025

Certifiably Optimal Anisotropic Rotation Averaging

Carl Olsson, Yaroslava Lochman, Johan Malmport +1

Rotation averaging is a key subproblem in applications of computer vision and robotics. Many methods for solving this problem exist, and there are also several theoretical results…

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★ 13 cited

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★ 11 cited

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…