Abstract
Thermal imaging is a widely used technique in several real-world applications in which a clear view of an object or scene is required, and obstruction thereof cannot be tolerated. By visualizing the received thermal radiation in the infrared spectrum, a clear depiction of the thermal profile of objects is obtained, that is information-rich and invariant to most severe atmospheric conditions. However, using thermal imaging hardware requires training and hands-on experience that is difficult to obtain. In this paper we explore PICTUM, a fully parameterizable thermal imaging simulation software that can be used to train personnel in various scenarios and digitally recreated atmospheric conditions, in order to provide sufficient experience in a controlled environment, before using the actual hardware.
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Acknowledgements
This research project has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - INNOVATE (project code: T2E\(\varDelta \) \(K\)–03941).
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Fotis, V., Romanelis, I., Zouras, S., Kokonozi, A., Moustakas, K. (2023). Enhanced Scene Interpretation and Perception Through 3D Virtual Thermal Imaging. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_11
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