A Survey of Surface Reconstruction from Point Clouds
| Autor: | Lee M. Seversky, Cláudio T. Silva, Gaël Guennebaud, Joshua A. Levine, Matthew Berger, Andrea Tagliasacchi, Pierre Alliez, Andrei Sharf |
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| Přispěvatelé: | Air Force Research Laboratory (AFRL), United States Air Force (USAF), University of Victoria [Canada] (UVIC), Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Melting the frontiers between Light, Shape and Matter (MANAO), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Photonique, Numérique et Nanosciences (LP2N), Université de Bordeaux (UB)-Institut d'Optique Graduate School (IOGS)-Centre National de la Recherche Scientifique (CNRS)-Institut d'Optique Graduate School (IOGS)-Centre National de la Recherche Scientifique (CNRS), Clemson University, Department of Computer Science and Engineerin [New York], NYU Polytechnic School of Engineering, European Project: 257474,EC:FP7:ERC,ERC-2010-StG_20091028,IRON(2011), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry shape analysis Point cloud 020207 software engineering 02 engineering and technology [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] Computer Graphics and Computer-Aided Design geometry processin surface reconstruction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business 3D acquisition Surface reconstruction Shape analysis (digital geometry) |
| Zdroj: | Computer Graphics Forum Computer Graphics Forum, 2016, pp.27. ⟨10.1111/cgf.12802⟩ Computer Graphics Forum, Wiley, 2016, pp.27. ⟨10.1111/cgf.12802⟩ |
| ISSN: | 0167-7055 1467-8659 |
| DOI: | 10.1111/cgf.12802⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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