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State of the Art in 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. This state-of-the-art report surveys the field of surface reconstruction, providing a categorization with respect to priors, data imperfections, and reconstruction output. By considering a holistic view of surface reconstruction, this report provides a detailed characterization of the field, highlights similarities between diverse reconstruction techniques, and provides directions for future work in surface reconstruction.
Mots-clés : surface reconstruction
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Conference papers
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Contributor : Pierre Alliez Connect in order to contact the contributor
Submitted on : Thursday, July 3, 2014 - 9:22:28 AM
Last modification on : Friday, November 18, 2022 - 9:28:25 AM
Long-term archiving on: : Friday, October 3, 2014 - 10:52:05 AM


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Matthew Berger, Andrea Tagliasacchi, Lee Seversky, Pierre Alliez, Joshua Levine, et al.. State of the Art in Surface Reconstruction from Point Clouds. Eurographics 2014 - State of the Art Reports, Apr 2014, Strasbourg, France. pp.161-185, ⟨10.2312/egst.20141040⟩. ⟨hal-01017700⟩



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