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Journal Articles Computer Graphics Forum Year : 2016

A Survey of Surface Reconstruction from Point Clouds

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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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Dates and versions

hal-01348404 , version 1 (23-07-2016)
hal-01348404 , version 2 (21-12-2016)

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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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