3 citations · 3 across the 3 of their papers we have counts for
5 papers
Text Detection on Technical Drawings for the Digitization of Brown-field Processes
Tobias Schlagenhauf, Markus Netzer, Jan Hillinger
This paper addresses the issue of autonomously detecting text on technical drawings. The detection of text on technical drawings is a critical step towards autonomous production ma…
Siamese Basis Function Networks for Data-efficient Defect Classification in Technical Domains
Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner
Training deep learning models in technical domains is often accompanied by the challenge that although the task is clear, insufficient data for training is available. In this work,…
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components
Tobias Schlagenhauf, Tim Brander, Juergen Fleischer
This paper provides a novel approach to stitching surface images of rotationally symmetric parts. It presents a process pipeline that uses a feature-based stitching approach to cre…
GAN based ball screw drive picture database enlargement for failure classification
Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer
The lack of reliable large datasets is one of the biggest difficulties of using modern machine learning methods in the field of failure detection in the manufacturing industry. In…
Context-based Image Segment Labeling (CBISL)
Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer
Working with images, one often faces problems with incomplete or unclear information. Image inpainting can be used to restore missing image regions but focuses, however, on low-lev…