Surface finish classification using depth camera data.

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. • A novel approach for surface finish evaluation of digitally fabricated structures. • Analysis of features related to surface finish derived from depth camera data. • Demonstration on specimens of similar visual appearance but different roughness. • Contribution towards real-time surface quality inspection in digital fabrication. • Non-contact and non-destructive approach for evaluating freshly produced surfaces. [ABSTRACT FROM AUTHOR]