Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance

Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of the denoising processes, and one framework is presented for raising a...

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Autores principales:	Nannan Li, Shaoyang Yue, Zhiyang Li, Shengfa Wang, Hui Wang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Bilateral filtering feature-preserving guided filter linear interpolation mesh denoising Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/1ab6ccb1932144d1b5300d695f2f555e
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id	oai:doaj.org-article:1ab6ccb1932144d1b5300d695f2f555e
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spelling	oai:doaj.org-article:1ab6ccb1932144d1b5300d695f2f555e2021-11-19T00:05:43ZAdaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance2169-353610.1109/ACCESS.2020.3025227https://doaj.org/article/1ab6ccb1932144d1b5300d695f2f555e2020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9200581/https://doaj.org/toc/2169-3536Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of the denoising processes, and one framework is presented for raising adaptive and feature-preserving mesh denoising schemes. Firstly, by analyzing the changes of the facet normals during the denoising process, we propose the definition of developmental guidance, which helps to assess the current filtering status and predict the positions of feature and smooth regions. Then, by incorporating the guidance, we put forward one interpolation-based denoising scheme, which affords an efficient way to interpolate and recover different levels of features and is robust to severe noises. Besides, we also introduce the guidance to the optimization-based model, and the achieved global scheme is tested to be stable and robust to irregular samplings. Both the theoretical analysis and extensive experimental results on synthetic and real-world noises have demonstrated the attractive advantages of our whole framework, such as being adaptive, efficient, robust, feature-preserving, etc.Nannan LiShaoyang YueZhiyang LiShengfa WangHui WangIEEEarticleBilateral filteringfeature-preservingguided filterlinear interpolationmesh denoisingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 172412-172427 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bilateral filtering feature-preserving guided filter linear interpolation mesh denoising Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Bilateral filtering feature-preserving guided filter linear interpolation mesh denoising Electrical engineering. Electronics. Nuclear engineering TK1-9971 Nannan Li Shaoyang Yue Zhiyang Li Shengfa Wang Hui Wang Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
description	Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of the denoising processes, and one framework is presented for raising adaptive and feature-preserving mesh denoising schemes. Firstly, by analyzing the changes of the facet normals during the denoising process, we propose the definition of developmental guidance, which helps to assess the current filtering status and predict the positions of feature and smooth regions. Then, by incorporating the guidance, we put forward one interpolation-based denoising scheme, which affords an efficient way to interpolate and recover different levels of features and is robust to severe noises. Besides, we also introduce the guidance to the optimization-based model, and the achieved global scheme is tested to be stable and robust to irregular samplings. Both the theoretical analysis and extensive experimental results on synthetic and real-world noises have demonstrated the attractive advantages of our whole framework, such as being adaptive, efficient, robust, feature-preserving, etc.
format	article
author	Nannan Li Shaoyang Yue Zhiyang Li Shengfa Wang Hui Wang
author_facet	Nannan Li Shaoyang Yue Zhiyang Li Shengfa Wang Hui Wang
author_sort	Nannan Li
title	Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
title_short	Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
title_full	Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
title_fullStr	Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
title_full_unstemmed	Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
title_sort	adaptive and feature-preserving mesh denoising schemes based on developmental guidance
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/1ab6ccb1932144d1b5300d695f2f555e
work_keys_str_mv	AT nannanli adaptiveandfeaturepreservingmeshdenoisingschemesbasedondevelopmentalguidance AT shaoyangyue adaptiveandfeaturepreservingmeshdenoisingschemesbasedondevelopmentalguidance AT zhiyangli adaptiveandfeaturepreservingmeshdenoisingschemesbasedondevelopmentalguidance AT shengfawang adaptiveandfeaturepreservingmeshdenoisingschemesbasedondevelopmentalguidance AT huiwang adaptiveandfeaturepreservingmeshdenoisingschemesbasedondevelopmentalguidance
_version_	1718420653692944384

Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance

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