Focal topic „Imaging the Invisible“ with the latest findings from sensor technology beyond human perception
At the European Machine Vision Forum 2025 organized by EMVA, which will take place this year on October 16th and 17th in Fürth, Germany, machine vision experts from science and industry will once again meet in a unique setting to exchange ideas. The event will be hosted by the Fraunhofer Development Center for X-ray Technology at Fraunhofer IIS.
Regarding the forum’s focal topic, “Imaging the Invisible,” the forum chair Professor Michael Heizmann explains: “Our headline in 2025 addresses new capabilities and research findings in the field of sensor technology. A lot has happened in this area in recent years. We can see this, for example, at the host Development Center for X-ray Technology at Fraunhofer IIS, where another high-energy hall for X-ray inspection of very large objects is nearing completion. The fact that we will be able to experience these latest facilities live on site will certainly make the European Machine Vision Forum 2025 an unforgettable experience for participants.” In addition, other sensor principles presented in this year’s program also open up possibilities for obtaining more information than is visible to the human eye. These include terahertz, multi- and hyperspectral data, radar, thermography, and single photon imaging. In most cases, the aim is to learn something about the material or internal structure of objects that humans cannot perceive.
The host institute will deliver the opening keynote “X-ray Technology – Key for Overcoming Technological and Economic Challenges,” given by Michael Salamon, group manager for high-energy X-ray systems at the Fraunhofer IIS Development Center for X-ray Technology. Jeroen Kalkman, Associate Professor at TU Delft, will focus on 3D imaging in his keynote speech on the afternoon of the first conference day with his presentation “Advancements in 3D Imaging Using Optical Coherence Tomography.” Marco Beijersbergen, CEO of Cosine, a company specializing in optical space instruments, will address the topic of multispectral imaging in his keynote speech “Multispectral Sensors for Space Applications” on the morning of the second day. The other presentations will showcase a wide variety of sensor principles in their latest state of development.
The program is complemented by poster presentations, an exhibition area, and ample space for networking among participants. “Meaningful collaborations usually arise at the interfaces between technologies and applications,” emphasizes forum chair Prof. Heizmann in this context. “It is therefore extremely important that user companies are informed about new technologies and, on the other hand, that research institutions learn about the specific problems faced by users. This exchange is the main purpose of the forum.”
The host institute is eagerly anticipating the event, as Dr. Norman Uhlmann, Division Director the Development Center for X-ray Technology of the Fraunhofer IIS, Fürth, confirms: “We are thrilled to host the 2025 European Machine Vision Forum and will contribute to the event by presenting some of the latest developments of its x-ray technologies, such as the XXL computer tomography where high x-ray energies enable the full 3d examination of very large objects such as, for example, assembled vehicles.”
More information about the 8th European Machine Vision Forum and registration at www.european-forum-emva.org.
Rome, Italy, May 27th, 2025. The EMVA Young Professional Award 2025 goes to Dr. Rolandos Alexandros Potamias for his work “High-fidelity 3D Hand Modelling, Detection and Reconstruction in world-coordinates”. The awardee was announced on 23 May during the 23th EMVA Business Conference in Rome, where he also had the opportunity to present his work as part of the regular conference program. Rolandos Alexandros Potamias is a postdoctoral researcher in 3D Computer Vision at the Department of Computing of Imperial College London in United Kingdom, focusing on perceiving and modelling humans. Rolandos holds a MEng from the School of Electrical and Computer Engineering in National Technical University of Athens. He obtained his PhD degree from Imperial College London under the supervision of Stefanos Zafeiriou with the thesis entitled “Advances of graph neural networks for 3D shape learning and analysis”. Rolandos’ current research efforts focus on building foundational embodied AI for open-world robots.
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