A Survey of Surface Reconstruction from Point Clouds

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Date
2017
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© 2017 The Eurographics Association and John Wiley & Sons Ltd.
Abstract
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 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 geometry
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@article{
10.1111:cgf.12802
, journal = {Computer Graphics Forum}, title = {{
A Survey of Surface Reconstruction from Point Clouds
}}, author = {
Berger, Matthew
and
Tagliasacchi, Andrea
and
Seversky, Lee M.
and
Alliez, Pierre
and
Guennebaud, Gaël
and
Levine, Joshua A.
and
Sharf, Andrei
and
Silva, Claudio T.
}, year = {
2017
}, publisher = {
© 2017 The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.12802
} }
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