Open access
Date
2021-09Type
- Journal Article
Abstract
We propose a novel approach for surface finish classification of digitally fabricated structures using an industrial depth camera. Data collected at different viewpoints are jointly processed to derive the spatial distribution of features describing the reflectance, which is in turn related to the surface finish. The features can be used to classify the surfaces according to their finish e.g., for assessing the homogeneity or conformance. We apply the method to four sprayed plaster specimens of similar visual appearance but different roughness. Using nearest neighbor classification we achieve an accuracy of 97% for the plaster samples. The approach is a contribution towards real-time quality inspection in digital fabrication. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000490591Publication status
publishedExternal links
Journal / series
Automation in ConstructionVolume
Pages / Article No.
Publisher
ElsevierSubject
Surface classification; Surface roughness; Reflectance; Depth camera; Automated inspectionOrganisational unit
03964 - Wieser, Andreas / Wieser, Andreas
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
Related publications and datasets
Is supplemented by: https://doi.org/10.3929/ethz-b-000494089
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