loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.174.216

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic