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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1109/TVCG.2020.3016645
|2 doi
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|a pubmed24n1045.xml
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|a (DE-627)NLM31370628X
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|a (NLM)32795969
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Khan, Dawar
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Surface Remeshing
|b A Systematic Literature Review of Methods and Research Directions
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| 264 |
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|c 2022
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 04.04.2022
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|a Date Revised 05.04.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a Triangle meshes are used in many important shape-related applications including geometric modeling, animation production, system simulation, and visualization. However, these meshes are typically generated in raw form with several defects and poor-quality elements, obstructing them from practical application. Over the past decades, different surface remeshing techniques have been presented to improve these poor-quality meshes prior to the downstream utilization. A typical surface remeshing algorithm converts an input mesh into a higher quality mesh with consideration of given quality requirements as well as an acceptable approximation to the input mesh. In recent years, surface remeshing has gained significant attention from researchers and engineers, and several remeshing algorithms have been proposed. However, there has been no survey article on remeshing methods in general with a defined search strategy and article selection mechanism covering the recent approaches in surface remeshing domain with a good connection to classical approaches. In this article, we present a survey on surface remeshing techniques, classifying all collected articles in different categories and analyzing specific methods with their advantages, disadvantages, and possible future improvements. Following the systematic literature review methodology, we define step-by-step guidelines throughout the review process, including search strategy, literature inclusion/exclusion criteria, article quality assessment, and data extraction. With the aim of literature collection and classification based on data extraction, we summarized collected articles, considering the key remeshing objectives, the way the mesh quality is defined and improved, and the way their techniques are compared with other previous methods. Remeshing objectives are described by angle range control, feature preservation, error control, valence optimization, and remeshing compatibility. The metrics used in the literature for the evaluation of surface remeshing algorithms are discussed. Meshing techniques are compared with other related methods via a comprehensive table with indices of the method name, the remeshing challenge met and solved, the category the method belongs to, and the year of publication. We expect this survey to be a practical reference for surface remeshing in terms of literature classification, method analysis, and future prospects
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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4 |
|a Systematic Review
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| 700 |
1 |
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|a Plopski, Alexander
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fujimoto, Yuichiro
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kanbara, Masayuki
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jabeen, Gul
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Yongjie Jessica
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Xiaopeng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kato, Hirokazu
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 28(2022), 3 vom: 05. März, Seite 1680-1713
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
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| 773 |
1 |
8 |
|g volume:28
|g year:2022
|g number:3
|g day:05
|g month:03
|g pages:1680-1713
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| 856 |
4 |
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|u http://dx.doi.org/10.1109/TVCG.2020.3016645
|3 Volltext
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