Computer Graphics
TU Braunschweig

Optical Quality Control for Adaptive Polishing Processes


Optical Quality Control for Adaptive Polishing Processes

We propose an image-based method to automatically estimate the surface roughness of a polishing process carried out by a numerically controlled machine tool. Given a single photograph of the workpiece, we incorporate techniques from differentiable rendering to infer the object’s roughness parameters, resulting in several advantages over existing approaches: since the method fully accounts for global light transport effects, the estimation can occur under general, known lighting conditions and workpiece geometries. This allows deployment of our approach for in-situ measurements by simply equipping the machine tool with a standard digital camera capturing photos of the workpiece. We investigate the feasibility and effectiveness of our novel method in a prototype application considering polished brass plates. Our results demonstrate a promising direction for surface parameter measurement in less restricted polishing process environments.

Convergence for sample plate

Rerendering


Author(s):Marc Kassubeck, Talash Malek, Moritz Mühlhausen, Moritz Kappel, Susana Castillo, Marc-André Dittrich, Marcus Magnor
Published:to appear
Type:Article in conference proceedings
Book:Proc. IEEE Southwest Symposium on Image Analysis and Interpretation
Presented at:IEEE Southwest Symposium on Image Analysis and Interpretation 2020
Project(s): Physical Parameter Estimation from Images 


@inproceedings{kassubeck2020optical,
  title = {Optical Quality Control for Adaptive Polishing Processes},
  author = {Kassubeck, Marc and Malek, Talash and M{\"u}hlhausen, Moritz and Kappel, Moritz and Castillo, Susana  and Dittrich, Marc-Andr{\'e} and Magnor, Marcus},
  booktitle = {Proc. {IEEE} Southwest Symposium on Image Analysis and Interpretation},
  organization = {{IEEE} Computer Society},
  year = {2020}
}

Authors