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- Publisher Website: 10.1145/3355089.3356507
- Scopus: eid_2-s2.0-85078948185
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Article: Repairing man-made meshes via visual driven global optimization with minimum intrusion
Title | Repairing man-made meshes via visual driven global optimization with minimum intrusion |
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Authors | |
Keywords | Global optimization Mesh repair Minimal intrusion ModelNet Output guarantee |
Issue Date | 2019 |
Publisher | Association for Computing Machinery, Inc. The Journal's web site is located at http://tog.acm.org |
Citation | ACM Transactions on Graphics, 2019, v. 38 n. 6, p. article no. 158 How to Cite? |
Abstract | 3D mesh models created by human users and shared through online platforms and datasets flourish recently. While the creators generally have spent large efforts in modeling the visually appealing shapes with both large scale structures and intricate details, a majority of the meshes are unfortunately flawed in terms of having duplicate faces, mis-oriented regions, disconnected patches, etc., due to multiple factors involving both human errors and software inconsistencies. All these artifacts have severely limited the possible low-level and high-level processing tasks that can be applied to the rich datasets. In this work, we present a novel approach to fix these man-made meshes such that the outputs are guaranteed to be oriented manifold meshes that preserve the original structures, big and small, as much as possible. Our key observation is that the models all visually look meaningful, which leads to our strategy of repairing the flaws while always preserving the visual quality. We apply local refinements and removals only where necessary to achieve minimal intrusion of the original meshes, and global adjustments through robust optimization to ensure the outputs are valid manifold meshes with optimal connections. We test the approach on large-scale 3D datasets, and obtain quality meshes that are more readily usable for further geometry processing tasks. |
Persistent Identifier | http://hdl.handle.net/10722/293925 |
ISSN | 2023 Impact Factor: 7.8 2023 SCImago Journal Rankings: 7.766 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | CHU, L | - |
dc.contributor.author | Pan, H | - |
dc.contributor.author | Liu, Y | - |
dc.contributor.author | Wang, WP | - |
dc.date.accessioned | 2020-11-23T08:23:49Z | - |
dc.date.available | 2020-11-23T08:23:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | ACM Transactions on Graphics, 2019, v. 38 n. 6, p. article no. 158 | - |
dc.identifier.issn | 0730-0301 | - |
dc.identifier.uri | http://hdl.handle.net/10722/293925 | - |
dc.description.abstract | 3D mesh models created by human users and shared through online platforms and datasets flourish recently. While the creators generally have spent large efforts in modeling the visually appealing shapes with both large scale structures and intricate details, a majority of the meshes are unfortunately flawed in terms of having duplicate faces, mis-oriented regions, disconnected patches, etc., due to multiple factors involving both human errors and software inconsistencies. All these artifacts have severely limited the possible low-level and high-level processing tasks that can be applied to the rich datasets. In this work, we present a novel approach to fix these man-made meshes such that the outputs are guaranteed to be oriented manifold meshes that preserve the original structures, big and small, as much as possible. Our key observation is that the models all visually look meaningful, which leads to our strategy of repairing the flaws while always preserving the visual quality. We apply local refinements and removals only where necessary to achieve minimal intrusion of the original meshes, and global adjustments through robust optimization to ensure the outputs are valid manifold meshes with optimal connections. We test the approach on large-scale 3D datasets, and obtain quality meshes that are more readily usable for further geometry processing tasks. | - |
dc.language | eng | - |
dc.publisher | Association for Computing Machinery, Inc. The Journal's web site is located at http://tog.acm.org | - |
dc.relation.ispartof | ACM Transactions on Graphics | - |
dc.rights | ACM Transactions on Graphics. Copyright © Association for Computing Machinery, Inc. | - |
dc.rights | ©ACM, YYYY. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, {VOL#, ISS#, (DATE)} http://doi.acm.org/10.1145/nnnnnn.nnnnnn | - |
dc.subject | Global optimization | - |
dc.subject | Mesh repair | - |
dc.subject | Minimal intrusion | - |
dc.subject | ModelNet | - |
dc.subject | Output guarantee | - |
dc.title | Repairing man-made meshes via visual driven global optimization with minimum intrusion | - |
dc.type | Article | - |
dc.identifier.email | Wang, WP: wenping@cs.hku.hk | - |
dc.identifier.authority | Wang, WP=rp00186 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/3355089.3356507 | - |
dc.identifier.scopus | eid_2-s2.0-85078948185 | - |
dc.identifier.hkuros | 319174 | - |
dc.identifier.volume | 38 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | article no. 158 | - |
dc.identifier.epage | article no. 158 | - |
dc.identifier.isi | WOS:000498397300008 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0730-0301 | - |