8th European Machine Vision Forum
(EMVF)
October 16 – 17, 2025
Fraunhofer IIS –
Development Center X-ray Technology EZRT
Fürth, Germany
Share your expertise on the focal topic:
Imaging the Invisible
A major advantage of machine vision is that a variety of sensory sources can be used. Image processing methods can be applied to images – regardless of how they were generated. Consequently, machine vision is not dependent on images as we know them as humans. Extensions of human perception are possible in many ways: spectrally by image acquisition, e.g. in the ultraviolet, infrared or terahertz range of electromagnetic waves, as well as by extending the color channels in multi- and hyperspectral images, by using polarization or temporally by using high-speed imaging. Images can also be created using other recording modalities, as is the case with thermography and acoustic imaging.
The European Machine Vision Forum 2025 will focus on methods, systems and applications based on such images of the “invisible”. Of particular interest here are sensor systems and methods for acquiring image data as well as procedures for evaluating them.
You are invited to share your expertise and valuable contribution to this focal topic in person. To actively contribute to the forum, please submit an extended abstract (1-2 pages) for
- Contributed talks (15 min. presentation + 5 min. discussion)
- Posters with “1 min, 2 slides”-teaser before corresponding poster session
via the application form below. Contributions from companies as well as research institutions are welcomed at the forum
All submissions are openly reviewed by the joint Scientific and Industrial Program Committee of the forum.
Prof. Dr. Michael Heizmann, Director of the Institute of Industrial Information Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, and Chair of the European Machine Vision Forum will be pleased to welcome you to the 8th edition of EMVA’s ‘Research Meets Industry’ initiative.
Requested Submission Details
- The extended abstract (1-2 pages PDF file) must include in the following order
- Title of contribution
- Authors and their affiliation
- Extended abstract, at least one page, at most two pages; it can but need not include graphics, pictures, and references.