Procedural Defect Modeling for Virtual Surface Inspection Environments
Author:
Affiliation:
1. University of Kaiserslautern, Kaiserslautern, Germany
2. Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM, Kaiserslautern, Germany
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/38/10079710/10040742.pdf?arnumber=10040742
Reference19 articles.
1. Real-time path-based surface detail
2. Synthetic Data Generation for Steel Defect Detection and Classification Using Deep Learning
3. Defect Image Sample Generation With GAN for Improving Defect Recognition
4. Perceptual issues in substituting texture for geometry;rushmeier;Proc SPIE Human Vis Electron Imag,2000
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