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dc.contributor.authorMarschner, Z
dc.contributor.authorPalmer, D
dc.contributor.authorZhang, P
dc.contributor.authorSolomon, J
dc.date.accessioned2021-10-27T20:23:38Z
dc.date.available2021-10-27T20:23:38Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135481
dc.description.abstract© 2020 The Author(s) Computer Graphics Forum © 2020 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. The validity of trilinear hexahedral (hex) mesh elements is a prerequisite for many applications of hex meshes, such as finite element analysis. A commonly used check for hex mesh validity evaluates mesh quality on the corners of the parameter domain of each hex, an insufficient condition that neglects invalidity elsewhere in the element, but is straightforward to compute. Hex mesh quality optimizations using this validity criterion suffer by being unable to detect invalidities in a hex mesh reliably, let alone fix them. We rectify these challenges by leveraging sum-of-squares relaxations to pinpoint invalidities in a hex mesh efficiently and robustly. Furthermore, we design a hex mesh repair algorithm that can certify validity of the entire hex mesh. We demonstrate our hex mesh repair algorithm on a dataset of meshes that include hexes with both corner and face-interior invalidities and demonstrate that where naïve algorithms would fail to even detect invalidities, we are able to repair them. Our novel methodology also introduces the general machinery of sum-of-squares relaxation to geometry processing, where it has the potential to solve related problems.
dc.language.isoen
dc.publisherWiley
dc.relation.isversionof10.1111/CGF.14074
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceMIT web domain
dc.titleHexahedral Mesh Repair via Sum‐of‐Squares Relaxation
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalComputer Graphics Forum
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-01-26T18:08:55Z
dspace.orderedauthorsMarschner, Z; Palmer, D; Zhang, P; Solomon, J
dspace.date.submission2021-01-26T18:09:04Z
mit.journal.volume39
mit.journal.issue5
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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