Terahertz-Light Field Camera Prototyp

18.02.2021|10:00 Uhr

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



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Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
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3013.

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Publisher: SCITEPRESS - Science and Technology Publications
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ISBN: 978-989-758-569-2

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Paulus, Alexander; Burgdorf, Andreas; Stephan, Alina; Pomp, André; Meisen, Tobias
Using Node Embeddings to Generate Recommendations for Semantic Model Creation
Proceedings of the 24th International Conference on Enterprise Information Systems, Page 699—708
Publisher: SCITEPRESS - Science and Technology Publications
2022

ISBN: 978-989-758-569-2

3010.

Paulus, Alexander; Burgdorf, Andreas; Stephan, Alina; Pomp, André; Meisen, Tobias
Using Node Embeddings to Generate Recommendations for Semantic Model Creation
Proceedings of the 24th International Conference on Enterprise Information Systems, Page 699—708
Publisher: SCITEPRESS - Science and Technology Publications
2022

ISBN: 978-989-758-569-2

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Hasecke, Frederik; Alsfasser, Martin; Kummert, Anton
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Pomp, André; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias
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Publisher: SCITEPRESS - Science and Technology Publications
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ISBN: 978-989-758-569-2

3007.

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Alves-Gomes, Miguel; Meyes, Richard; Meisen, Philipp; Meisen, Tobias
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings
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Publisher: Association for Computing Machinery, New York, NY, USA
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3002.

Alves-Gomes, Miguel; Meyes, Richard; Meisen, Philipp; Meisen, Tobias
Will This Online Shopping Session Succeed? Predicting Customer’s Purchase Intention Using Embeddings
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM ’22, Page 2873—2882
Publisher: Association for Computing Machinery, New York, NY, USA
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ISBN: 9781450392365

3001.

Alves-Gomes, Miguel; Meyes, Richard; Meisen, Philipp; Meisen, Tobias
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Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM ’22, Page 2873—2882
Publisher: Association for Computing Machinery, New York, NY, USA
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ISBN: 9781450392365

3000.

Bauer, Adrian; Oberbossel, Jens; Sander, Stefan; Kummert, Anton
WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection
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Steiniger, Yannik; Kraus, Dieter; Meisen, Tobias
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Engineering Applications of Artificial Intelligence, 114 (3) :105157
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2998.

Hütten, Nils; Meyes, Richard; Meisen, Tobias
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2997.

Samsonov, Vladimir; Ben Hicham, Karim; Meisen, Tobias
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2996.

Waubert-de-Puiseau, Constantin; Nanfack, Dimitri Tegomo; Tercan, Hasan; Löbbert-Plattfaut, Johannes; Meisen, Tobias
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2995.

Maack, Robert F.; Waubert-de-Puiseau, Constantin; Sokolova, Anna; Atsbha, Haile; Tercan, Hasan; Meisen, Tobias
Reducing the Sim2Real-Gap in Extrusion Blow Molding using Random Forest Regressors
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2022
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2994.

Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
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2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
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2022

ISBN: 978-1-6654-3418-8

2993.

Maack, Robert F.; Tercan, Hasan; Meisen, Tobias
Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows
2022 IEEE 20th International Conference on Industrial Informatics (INDIN), Page 329—334
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2022

2992.

Braun, Marco; Luszek, Moritz; Meuter, Mirko; Spata, Dominic; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Page 3200--3206
IEEE
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2991.

Braun, Marco; Luszek, Moritz; Meuter, Mirko; Spata, Dominic; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Page 3200--3206
IEEE
2022

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