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A Survey of Surface Reconstruction from Point Clouds

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 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.
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Submitted on : Wednesday, December 21, 2016 - 8:02:10 PM
Last modification on : Friday, December 9, 2022 - 12:20:08 PM
Long-term archiving on: : Monday, March 20, 2017 - 11:47:46 PM


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Matthew Berger, Andrea Tagliasacchi, Lee Seversky, Pierre Alliez, Gael Guennebaud, et al.. A Survey of Surface Reconstruction from Point Clouds. Computer Graphics Forum, 2016, pp.27. ⟨10.1111/cgf.12802⟩. ⟨hal-01348404v2⟩



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