A Survey of Surface Reconstruction from Point Clouds

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dc.contributor.authorBerger, Matthewen_US
dc.contributor.authorTagliasacchi, Andreaen_US
dc.contributor.authorSeversky, Lee M.en_US
dc.contributor.authorAlliez, Pierreen_US
dc.contributor.authorGuennebaud, Gaëlen_US
dc.contributor.authorLevine, Joshua A.en_US
dc.contributor.authorSharf, Andreien_US
dc.contributor.authorSilva, Claudio T.en_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2017-03-13T18:13:04Z
dc.date.available2017-03-13T18:13:04Z
dc.date.issued2017
dc.description.abstractThe 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 contain 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.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 contain 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 geometryen_US
dc.description.documenttypestar
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.12802
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.12802
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf12802
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectgeometry processin
dc.subjectsurface reconstruction
dc.subject3D acquisition
dc.subjectshape analysis
dc.titleA Survey of Surface Reconstruction from Point Cloudsen_US
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