A Survey of Surface Reconstruction from Point Clouds
| hal.structure.identifier | Air Force Research Laboratory [AFRL] | |
| dc.contributor.author | BERGER, Matthew | |
| hal.structure.identifier | University of Victoria [Canada] [UVIC] | |
| dc.contributor.author | TAGLIASACCHI, Andrea | |
| hal.structure.identifier | Air Force Research Laboratory [AFRL] | |
| dc.contributor.author | SEVERSKY, Lee | |
| hal.structure.identifier | Geometric Modeling of 3D Environments [TITANE] | |
| dc.contributor.author | ALLIEZ, Pierre | |
| hal.structure.identifier | Melting the frontiers between Light, Shape and Matter [MANAO] | |
| dc.contributor.author | GUENNEBAUD, Gael | |
| hal.structure.identifier | Melting the frontiers between Light, Shape and Matter [MANAO] | |
| dc.contributor.author | LEVINE, Joshua | |
| hal.structure.identifier | Clemson University | |
| dc.contributor.author | SHARF, Andrei | |
| hal.structure.identifier | Department of Computer Science and Engineerin [New York] | |
| dc.contributor.author | SILVA, Claudio | |
| dc.date.accessioned | 2023-05-12T10:53:57Z | |
| dc.date.available | 2023-05-12T10:53:57Z | |
| dc.date.created | 2015-07-16 | |
| dc.date.issued | 2016 | |
| dc.identifier.issn | 0167-7055 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/181892 | |
| dc.description.abstractEn | The area of surface reconstruction has seen substantial progress in the past two decades. The traditional problem addressed by surface reconstruction is to recover the digital representation of a physical shape that has been scanned, where the scanned data contains a wide variety of defects. While much of the earlier work has been focused on reconstructing a piece-wise smooth representation of the original shape, recent work has taken on more specialized priors to address significantly challenging data imperfections, where the reconstruction can take on different representations – not necessarily the explicit geometry. We survey the field of surface reconstruction, and provide a categorization with respect to priors, data imperfections, and reconstruction output. By considering a holistic view of surface reconstruction, we show a detailed characterization of the field, highlight similarities between diverse reconstruction techniques, and provide directions for future work in surface reconstruction. | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.title.en | A Survey of Surface Reconstruction from Point Clouds | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1111/cgf.12802 | |
| dc.subject.hal | Informatique [cs]/Géométrie algorithmique [cs.CG] | |
| dc.description.sponsorshipEurope | Robust Geometry Processing | |
| bordeaux.journal | Computer Graphics Forum | |
| bordeaux.page | 27 | |
| bordeaux.hal.laboratories | Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01348404 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01348404v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computer%20Graphics%20Forum&rft.date=2016&rft.spage=27&rft.epage=27&rft.eissn=0167-7055&rft.issn=0167-7055&rft.au=BERGER,%20Matthew&TAGLIASACCHI,%20Andrea&SEVERSKY,%20Lee&ALLIEZ,%20Pierre&GUENNEBAUD,%20Gael&rft.genre=article |
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