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Authors: Ye Ling 1 ; David Frohlich 2 ; Tom Williamson 3 and Jean-Yves Guillemaut 1

Affiliations: 1 Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K. ; 2 Digital World Research Centre, University of Surrey, Guildford, U.K. ; 3 Guy’s and St Thomas’ NHS Foundation Trust, London, U.K.

Keyword(s): Metamorphopsia, Visual Distortion, Image Warping, Assistive Technology.

Abstract: Metamorphopsia, commonly referred to as distorted vision, is a serious visual impairment which remains uncorrectable by optical glasses or contact lenses. This paper presents a novel approach to digitally map visual distortion based on patient feedback. The approach is based on the use of low-level geometrical constraints (central symmetry) which provide a simple and intuitive mechanism for a patient to provide feedback on their perceived visual distortion. We derive a set of fundamental constraints and show how visual distortion mapping can be framed as an optimisation problem. Critically, a parametric distortion model based on MLS is used to reduce the dimensionality of the problem and enable detailed visual distortion estimation. An extensive evaluation using simulated data demonstrates the accuracy and robustness of the approach. This approach opens up the possibility of correcting for visual distortion by applying the inverse mapping on the input stream to for instance VR see-th rough devices or screen-based devices. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ling, Y.; Frohlich, D.; Williamson, T. and Guillemaut, J. (2024). Symmetry Completion Test: A Novel Approach for Visual Distortion Mapping and Correction Using Symmetry Constraints. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 414-425. DOI: 10.5220/0012378000003660

@conference{visapp24,
author={Ye Ling. and David Frohlich. and Tom Williamson. and Jean{-}Yves Guillemaut.},
title={Symmetry Completion Test: A Novel Approach for Visual Distortion Mapping and Correction Using Symmetry Constraints},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={414-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012378000003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Symmetry Completion Test: A Novel Approach for Visual Distortion Mapping and Correction Using Symmetry Constraints
SN - 978-989-758-679-8
IS - 2184-4321
AU - Ling, Y.
AU - Frohlich, D.
AU - Williamson, T.
AU - Guillemaut, J.
PY - 2024
SP - 414
EP - 425
DO - 10.5220/0012378000003660
PB - SciTePress

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