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A Robust 3D-Based Color Correction Approach for Texture Mapping Applications

Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured mesh...

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Detalles Bibliográficos
Autores principales: Coelho, Daniel, Dal’Col, Lucas, Madeira, Tiago, Dias, Paulo, Oliveira, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914668/
https://www.ncbi.nlm.nih.gov/pubmed/35270879
http://dx.doi.org/10.3390/s22051730
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author Coelho, Daniel
Dal’Col, Lucas
Madeira, Tiago
Dias, Paulo
Oliveira, Miguel
author_facet Coelho, Daniel
Dal’Col, Lucas
Madeira, Tiago
Dias, Paulo
Oliveira, Miguel
author_sort Coelho, Daniel
collection PubMed
description Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured meshes free of texture seams through a process of color correcting all images of the scene. To accomplish this goal, we propose two contributions to the state-of-the-art of color correction: a pairwise-based methodology, capable of color correcting multiple images from the same scene; the application of 3D information from the scene, namely meshes and point clouds, to build a filtering procedure, in order to produce a more reliable spatial registration between images, thereby increasing the robustness of the color correction procedure. We also present a texture mapping pipeline that receives uncorrected images, an untextured mesh, and point clouds as inputs, producing a final textured mesh and color corrected images as output. Results include a comparison with four other color correction approaches. These show that the proposed approach outperforms all others, both in qualitative and quantitative metrics. The proposed approach enhances the visual quality of textured meshes by eliminating most of the texture seams.
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spelling pubmed-89146682022-03-12 A Robust 3D-Based Color Correction Approach for Texture Mapping Applications Coelho, Daniel Dal’Col, Lucas Madeira, Tiago Dias, Paulo Oliveira, Miguel Sensors (Basel) Article Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured meshes free of texture seams through a process of color correcting all images of the scene. To accomplish this goal, we propose two contributions to the state-of-the-art of color correction: a pairwise-based methodology, capable of color correcting multiple images from the same scene; the application of 3D information from the scene, namely meshes and point clouds, to build a filtering procedure, in order to produce a more reliable spatial registration between images, thereby increasing the robustness of the color correction procedure. We also present a texture mapping pipeline that receives uncorrected images, an untextured mesh, and point clouds as inputs, producing a final textured mesh and color corrected images as output. Results include a comparison with four other color correction approaches. These show that the proposed approach outperforms all others, both in qualitative and quantitative metrics. The proposed approach enhances the visual quality of textured meshes by eliminating most of the texture seams. MDPI 2022-02-23 /pmc/articles/PMC8914668/ /pubmed/35270879 http://dx.doi.org/10.3390/s22051730 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Coelho, Daniel
Dal’Col, Lucas
Madeira, Tiago
Dias, Paulo
Oliveira, Miguel
A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title_full A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title_fullStr A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title_full_unstemmed A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title_short A Robust 3D-Based Color Correction Approach for Texture Mapping Applications
title_sort robust 3d-based color correction approach for texture mapping applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914668/
https://www.ncbi.nlm.nih.gov/pubmed/35270879
http://dx.doi.org/10.3390/s22051730
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