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:
- 2022
3609.
Tercan, Hasan; Deibert, Philipp; Meisen, Tobias
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Journal of Intelligent Manufacturing (33) :283—292
20223608.
Tercan, Hasan; Deibert, Philipp; Meisen, Tobias
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Journal of Intelligent Manufacturing (33) :283—292
20223607.
Lopez Paredes, Alvaro; Heredia Conde, Miguel; Loffeld, Otmar
CS-based ToF Imaging
ATHENA Research Book, 1 :p.237
20223606.
Lopez Paredes, A.; Heredia Conde, M.; Loffeld, O.
CS-ToF Sensing by means of Greedy Bi-lateral Fusion and Near-to-optimal Low-density Codes
30th European Signal Processing Conference (EUSIPCO), Page p.1996 - 2000
20223605.
Lopez Paredes, A.; Heredia Conde, M.; Loffeld, O.
CS-ToF Sensing by means of Greedy Bi-lateral Fusion and Near-to-optimal Low-density Codes
30th European Signal Processing Conference (EUSIPCO), Page p.1996 - 2000
20223604.
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
Publisher: IEEE
2022ISBN: 978-1-7281-7568-3
3603.
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
Publisher: IEEE
2022ISBN: 978-1-7281-7568-3
3602.
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
Publisher: IEEE
2022ISBN: 978-1-7281-7568-3
3601.
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
Publisher: IEEE
2022ISBN: 978-1-7281-7568-3
3600.
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
Publisher: IEEE
2022ISBN: 978-1-7281-7568-3
3599.
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
20223598.
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
20223597.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap 2.0
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM '22, Page 98—107
Publisher: Association for Computing Machinery, New York, NY, USA
2022ISBN: 9781450392365
3596.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap 2.0
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM '22, Page 98—107
Publisher: Association for Computing Machinery, New York, NY, USA
2022ISBN: 9781450392365
3595.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap 2.0
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM ’22, Page 98—107
Publisher: Association for Computing Machinery, New York, NY, USA
2022ISBN: 9781450392365
3594.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap 2.0
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM '22, Page 98—107
Publisher: Association for Computing Machinery, New York, NY, USA
2022ISBN: 9781450392365
3593.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap 2.0
Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementfromCIKM '22, Page 98—107
Publisher: Association for Computing Machinery, New York, NY, USA
2022ISBN: 9781450392365
3592.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs
2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
Publisher: IEEE
2022ISBN: 978-1-6654-3418-8
3591.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs
2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
Publisher: IEEE
2022ISBN: 978-1-6654-3418-8
3590.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs
2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
Publisher: IEEE
2022ISBN: 978-1-6654-3418-8
3589.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs
2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
Publisher: IEEE
2022ISBN: 978-1-6654-3418-8
3588.
Burgdorf, Andreas; Paulus, Alexander; Pomp, André; Meisen, Tobias
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs
2022 IEEE 16th International Conference on Semantic Computing (ICSC), Page 209—216
Publisher: IEEE
2022ISBN: 978-1-6654-3418-8
3587.
Burgdorf, Andreas; Barkmann, Micaela; Pomp, André; Meisen, Tobias
Domain-independent Data-to-Text Generation for Open Data
Proceedings of the 11th International Conference on Data Science, Technology and Applications, Page 95—106
Publisher: SCITEPRESS - Science and Technology Publications
2022ISBN: 978-989-758-583-8
3586.
Burgdorf, Andreas; Barkmann, Micaela; Pomp, André; Meisen, Tobias
Domain-independent Data-to-Text Generation for Open Data
Proceedings of the 11th International Conference on Data Science, Technology and Applications, Page 95—106
Publisher: SCITEPRESS - Science and Technology Publications
2022ISBN: 978-989-758-583-8
3585.
Burgdorf, Andreas; Barkmann, Micaela; Pomp, André; Meisen, Tobias
Domain-independent Data-to-Text Generation for Open Data
Proceedings of the 11th International Conference on Data Science, Technology and Applications, Page 95—106
Publisher: SCITEPRESS - Science and Technology Publications
2022ISBN: 978-989-758-583-8