Surface finish classification using depth camera data
OPEN ACCESS
Author / Producer
Date
2021-09
Publication Type
Journal Article
ETH Bibliography
yes
Citations
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OPEN ACCESS
Data
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.
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Publication status
published
External links
Editor
Book title
Journal / series
Volume
129
Pages / Article No.
103799
Publisher
Elsevier
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Surface classification; Surface roughness; Reflectance; Depth camera; Automated inspection
Organisational unit
03964 - Wieser, Andreas / Wieser, Andreas
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
Notes
Funding
Related publications and datasets
Is supplemented by: https://doi.org/10.3929/ethz-b-000494089