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Jessica Plassmann

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • physics.optics1

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2025★ 1 cited

Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data

Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1

Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…

physics.optics2025

Simulation of Speckle Interferometric Results for Enhanced Measurement and Automated Defect Detection

Jessica Plassmann, Michael Schuth, Georg von Freymann

Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.