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Light field illumination: Problem-specific lighting adjustment

Lichtfeldbeleuchtung: Problemspezifische Beleuchtungsanpassung
Christian Kludt

Christian Kludt received his master degree in „Optics and Photonics“ from Karlsruhe Institute of technology in 2018 and his bachelor degree in „Optoelektronik/Lasertechnik“ from Aalen University of Applied Science in 2013. Between the two study phases he was working in the R&D department of Sirius Adanced Cybernetics (SAC) in Karslruhe. Since 2018, he joined the scientific staff at Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and is working towards his PhD degree. His field of research is light fields, covering the entire range from acquisition, rendering, calibration and generation.

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, Thomas Längle

Thomas Längle is a Professor at the Karlsruhe Institute of Technology (KIT), as well as head oft the department Visual Inspection Systems (SPR) and spokesman of the business unit Inspection and Optronic Systems, both at the Fraunhofer Institute for Optronics, System Technology and Image Exploitation (IOSB). His research interests are automatic visual inspection, image processing and real-time algorithms for inspection systems.

and Jürgen Beyerer

Jürgen Beyerer has been a full professor for informatics at the Institute for Anthropomatics and Robotics at the Karlsruhe Institute of Technology (KIT) since March 2004 and director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Ettlingen, Karlsruhe, Ilmenau, Lemgo, Görlitz. He is Spokesman of the Fraunhofer Group for Defense and Security VVS and he is member of acatech, National Academy of Science and Engineering. Furthermore, he is Head of team 7 of the platform „Lernende Systeme” and Spokesman of the Competence Center Robotic Systems for Decontamination in Hazardous Environments (ROBDEKON). Research interests include automated visual inspection, signal and image processing, pattern recognition, metrology, information theory, machine learning, system theory security, autonomous systems and automation.

From the journal tm - Technisches Messen

Abstract

Choosing a proper lighting approach is a crucial task in designing visual inspection systems. It becomes especially challenging for complex-shaped, transparent objects, which change the directional distribution of incoming light in various ways. We overcome this challenge by constructing a light field display and deploy it as a highly tunable lighting device. Thereby, an object-specific light field can be generated, which highlights the features of the object under test with maximum contrast. We explain the calibration procedure, the rendering pipeline and present examples of customized illuminations.

Zusammenfassung

Die Wahl eines geeigneten Beleuchtungsansatzes ist eine entscheidende Aufgabe beim Entwurf optischer Inspektionssysteme. Besonders für komplex geformte, transparente Objekte stellt dies eine Herausforderung dar, da diese die Richtungsverteilung des einfallenden Lichtes stark verändern. Wir lösen dieses Problem, indem wir ein Lichtfelddisplay konstruieren und es als hochgradig anpassbare Beleuchtung einsetzen. Damit kann ein objektspezifisches Lichtfeld erzeugt werden, welches die Merkmale des Prüflings mit maximalem Kontrast hervorhebt. Wir zeigen das Kalibrierverfahren, die Rendering-Pipeline und präsentieren Beispiele angepasster Beleuchtungen.

About the authors

M. Sc. Christian Kludt

Christian Kludt received his master degree in „Optics and Photonics“ from Karlsruhe Institute of technology in 2018 and his bachelor degree in „Optoelektronik/Lasertechnik“ from Aalen University of Applied Science in 2013. Between the two study phases he was working in the R&D department of Sirius Adanced Cybernetics (SAC) in Karslruhe. Since 2018, he joined the scientific staff at Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and is working towards his PhD degree. His field of research is light fields, covering the entire range from acquisition, rendering, calibration and generation.

Prof. Dr.-Ing. Thomas Längle

Thomas Längle is a Professor at the Karlsruhe Institute of Technology (KIT), as well as head oft the department Visual Inspection Systems (SPR) and spokesman of the business unit Inspection and Optronic Systems, both at the Fraunhofer Institute for Optronics, System Technology and Image Exploitation (IOSB). His research interests are automatic visual inspection, image processing and real-time algorithms for inspection systems.

Prof. Dr.-Ing. habil. Jürgen Beyerer

Jürgen Beyerer has been a full professor for informatics at the Institute for Anthropomatics and Robotics at the Karlsruhe Institute of Technology (KIT) since March 2004 and director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Ettlingen, Karlsruhe, Ilmenau, Lemgo, Görlitz. He is Spokesman of the Fraunhofer Group for Defense and Security VVS and he is member of acatech, National Academy of Science and Engineering. Furthermore, he is Head of team 7 of the platform „Lernende Systeme” and Spokesman of the Competence Center Robotic Systems for Decontamination in Hazardous Environments (ROBDEKON). Research interests include automated visual inspection, signal and image processing, pattern recognition, metrology, information theory, machine learning, system theory security, autonomous systems and automation.

Acknowledgment

We thank Lukas Dippon, who contributed with his bachelor thesis [17] to the light field filter and rendering pipeline. We would also like to thank Frederik Seiler, who contributed with his master thesis [18] to the realization of the inverse light field illumination.

References

1. Stemmer Imaging AG, “The Imaging & Vision Handbook.” www.stemmer-imaging.com, 2020.Search in Google Scholar

2. Fraunhofer IOSB, “Purity-Qualitätsprüfung transparenter Objekte.” https://www.iosb.fraunhofer.de/servlet/is/5208/, June 2020.Search in Google Scholar

3. J. Beyerer, F. Puente León, and C. Frese, Machine Vision: Automated Visual Inspection: Theory, Practice and Applications. Berlin: Springer, 2016.Search in Google Scholar

4. R. Gruna, Beleuchtungsverfahren zur problemspezifischen Bildgewinnung für die automatische Sichtprüfung. PhD thesis, Karlsruhe Institute of Technology (KIT), 2013.Search in Google Scholar

5. A. Schöch, P. Perez, and S. Linz-Dittrich, “Automated classification of imperfections and dust un small optical elements,” in Forum Bildverarbeitung 2018. Hrsg.: T. Längle, F. Puente León, M. Heizmann, pp. 161–172, KIT Scientific Publishing, Karlsruhe, 2018.Search in Google Scholar

6. Alioscopy, “Alioscopy Glasses-Free 3D Displays.” www.alioscopy.com/, 2021.Search in Google Scholar

7. Holografika, “Pioneering 3D Light Fiels Displaying.” http://holografika.com/, 2021.Search in Google Scholar

8. Looking Glass Factory Inc., “Your first personal holographic display..” https://lookingglassfactory.com/, 2021.Search in Google Scholar

9. J. Burke, Phase Decoding and Reconstruction, Optical Methods for Solid Mechanics: A Full-Field Approach, ch. 3, pp. 83–141. Wiley, Weinheim, 2012.Search in Google Scholar

10. J. Burke, T. Bothe, W. Osten, and C. Hess, “Reverse engineering by fringe projection,” in Interferometry XI: Applications, W. Osten, ed., vol. 4778, pp. 312–324, SPIE, 2002.10.1117/12.473547Search in Google Scholar

11. C. Zuo, L. Huang, M. Zhang, Q. Chen, and A. Asundi, “Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review,” Optics and Lasers in Engineering, vol. 85, pp. 84–103, 2016.10.1016/j.optlaseng.2016.04.022Search in Google Scholar

12. H. Lei, X. yu Chang, F. Wang, X.-T. Hu, and X.-D. Hu, “A novel algorithm based on histogram processing of reliability for two-dimensional phase unwrapping,” Optik – International Journal for Light and Electron Optics, vol. 126, no. 18, pp. 1640–1644, 2015.10.1016/j.ijleo.2015.04.070Search in Google Scholar

13. M. A. Herráez, D. R. Burton, M. J. Lalor, and M. A. Gdeisat, “Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path,” Appl. Opt., vol. 41, pp. 7437–7444, Dec 2002.10.1364/AO.41.007437Search in Google Scholar PubMed

14. J. Meyer, Light Field Methods for the Visual Inspection of Transparent Objects. PhD thesis, Karlsruhe Institute of Technology (KIT), 2018.Search in Google Scholar

15. Sony Europe B.V., “Sony Xperia XZ Premium – Technische Daten.” www.sony.de, 2020.Search in Google Scholar

16. Dell Technologies Inc., “Dell UltraSharp 32 PremierColor UltraHD 8K.” www.dell.com, 2020.Search in Google Scholar

17. L. Dippon, “Entwicklung und Evaluation von Methoden zur Modellierung und Erzeugung von Lichtfeldern,” bachelor thesis, Karlsruhe Institute of Technology (KIT), 2020.Search in Google Scholar

18. F. Seiler, “Realisierung einer inversen Lichtfeld-Beleuchtung zur Inspektion transparenter Objekte,” master thesis, Karlsruhe Institute of Technology (KIT), 2020.Search in Google Scholar

Received: 2021-02-15
Accepted: 2021-04-12
Published Online: 2021-05-05
Published in Print: 2021-06-26

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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