Record link: 
http://hdl.handle.net/20.500.12708/139821
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Title: 
Optical Single-Shot Object Recognition in the Terahertz Spectral Domain
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Citation: 
Limbacher, B., Schönhuber, S., Wenclawiak, M. S., Kainz, M. A., Andrews, A. M., Strasser, G., Darmo, J., & Unterrainer, K. (2022). Optical Single-Shot Object Recognition in the Terahertz Spectral Domain. In 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) (pp. 1–1). https://doi.org/10.1109/IRMMW-THz50927.2022.9895928
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Publisher DOI: 
10.1109/IRMMW-THz50927.2022.9895928
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Limbacher, Benedikt 
Schönhuber, Sebastian 
Wenclawiak, Moritz Simon 
Kainz, Martin Alexander 
Andrews, Aaron Maxwell 
Strasser, Gottfried 
Darmo, Juraj 
Unterrainer, Karl 
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Organisational Unit: 
E387-01 - Forschungsbereich Photonik 
E362 - Institut für Festkörperelektronik 
E362-01 - Forschungsbereich Optoelektronische Materialien 
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Published in: 
2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) 
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ISBN: 
978-1-7281-9427-1
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Volume: 
2022-August
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DOI of the book: 
10.1109/IRMMW-THz50927.2022
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Date (published): 
2022
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Event name: 
47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz 2022) 
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Event date: 
28-Aug-2022 - 2-Sep-2022
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Event place: 
Delft, Netherlands (the)
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Number of Pages: 
1
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Peer reviewed: 
Yes
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Keywords: 
Terahertz
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Abstract: 
Imaging in the terahertz spectral region is costly and complex. Machine learning yields tools that allow the recognition of objects more efficiently than plain imaging. We present a single-shot optical machine learning approach for detecting objects in the terahertz spectral region by using a single pixel detector paired with a terahertz spatial light modulator.
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Research Areas: 
Photonics: 100%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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