Terahertz-Light Field Camera Prototyp
Light-field cameras record both the brightness and direction of the incident light rays. This spatiodirectional information can be post-processed for a dynamic focal point adjustment and 3-D imaging. Light-field has traditionally been a domain of visible light computational imaging. Our chair is leading the development of light-field methodologies for the THz spectrum, bringing new foundational understanding and hardware capabilities for bridging the terahertz gap.
Currently, we are building the first ever THz light-field camera prototype - which consists of a 3x3 super-array of lens coupled 1k-pixel THz CMOS cameras - in a single package. The CMOS camera chip is presented in the International Solid-State Circuits Conference (ISSCC) 2021. The figure shows the prototype of the light field array. The prototype serves as the hardware platform for the development of light-field based real-time THz 3-D imaging techniques.
Preliminary work:
- 2021
3355.
Zatta, Robin; Pfeiffer, Ullrich R.
Radial Distortion in Silicon Lens-Integrated THz Cameras
2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), Page 1-2
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Pfeiffer, Ullrich R.
Advanced Grant
European Research Council (ERC)
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Alpaydin, Ali
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Muhs, Niklas Alexander
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Bachelor-Thesis
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Zickler, Jan
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Master-Thesis
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Beninca, Laurenz
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Schulz, Johannes
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Bachelor-Thesis
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Petrovic, Stefan
Parametrisierung eines Ersatzschaltbildes für den Entwurf eines Lithium-Ionen Batteriemodells zur Bestimmung des Ladezustands
Bachelor-Thesis
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Zeid, Farouq
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Bachelor-Thesis
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Bachelor-Thesis
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Jain, Ritesh; Hillger, Philipp; Grzyb, Janusz; Ashna, Eamal; Jagtap, Vishal; Zatta, Robin; Pfeiffer, Ullrich R.
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2021 IEEE International Solid-State Circuits Conference (ISSCC) :484-486
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Karagiannidis, Spiros
Inbetriebnahme eines neuartigen Sensorsystems für Anwendungen im Bereich Automotive-Radar und Materialerkennung
University of Wuppertal
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Burkert, A.; Fechtner, H.; Schmuelling, B.
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2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys)
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The 12th International Symposium on Electric and Magnetic Fields (EMF 2021)
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Kuxdorf-Alkirata, Nizam; Maus, Gerrit; Brückmann, Dieter
A Device-free Indoor Localization System Based on Supervised Learning and {Bluetooth Low Energy}
2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Page 413--418
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Alves Gomes, Miguel; Tercan, Hasan; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Page 1278—1285
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Alves-Gomes, Miguel; Tercan, Hasan; Bodnar, Todd; Meisen, Tobias; Meisen, Philipp
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter
2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys), Page 1278—1285
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Alves-Gomes, Miguel; Tercan, Hasan; Bodnar, Todd; Meisen, Tobias; Meisen, Philipp
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter
2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys), Page 1278—1285
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Alves-Gomes, Miguel; Tercan, Hasan; Bodnar, Todd; Meisen, Tobias; Meisen, Philipp
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter
2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys), Page 1278—1285
2021
