Optical Quality Control for Adaptive Polishing Processes
- authored by
- Marc Kassubeck, Talash Malek, Moritz Muhlhausen, Moritz Kappel, Susana Castillo, Marc Andre Dittrich, Marcus Magnor
- Abstract
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.
- Organisation(s)
-
PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines
Institute of Production Engineering and Machine Tools
- External Organisation(s)
-
Technische Universität Braunschweig
University of New Mexico
- Type
- Conference contribution
- Pages
- 90-94
- No. of pages
- 5
- Publication date
- 2020
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Software, Computer Vision and Pattern Recognition, Computer Science Applications
- Electronic version(s)
-
https://doi.org/10.1109/ssiai49293.2020.9094615 (Access:
Closed)