A Survey of Surface Reconstruction from Point Clouds

Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, Claudio T. Silva

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)301-329
Number of pages29
JournalComputer Graphics Forum
Volume36
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • 3D acquisition
  • geometry processin
  • shape analysis
  • surface reconstruction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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    Berger, M., Tagliasacchi, A., Seversky, L. M., Alliez, P., Guennebaud, G., Levine, J. A., Sharf, A., & Silva, C. T. (2017). A Survey of Surface Reconstruction from Point Clouds. Computer Graphics Forum, 36(1), 301-329. https://doi.org/10.1111/cgf.12802