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

3552.


IEEE International Conference on Consumer Electronics (ICCE 2022), Online/Las Vegas
Publisher: IEEE
2022

3551.

Beitz, Bernard; Roth, Robert; Häser, Jutta; Wiegard, Tobias; Möller, Reinhard
Improving the User Experience for Manual Data Labeling using a Graph-based Approach
2022 IEEE International Conference on Consumer Electronics (ICCE), Page 1-4
2022

3550.

Beitz, Bernard; Roth, Robert; Häser, Jutta; Wiegard, Tobias; Möller, Reinhard
Improving the User Experience for Manual Data Labeling using a Graph-based Approach
2022 IEEE International Conference on Consumer Electronics (ICCE), Page 1-4
2022

3549.

Ghorban, Farzin; Hasan, Nesreen; Velten, Jörg; Kummert, Anton
Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning
2022 IEEE International Symposium on Circuits and Systems (ISCAS), Page 1215-1219
2022

3548.

Vietz, Hannes; Maschler, Benjamin; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
atp magazin, 63 (9) :86—93
2022

3547.

Vietz, Hannes; Maschler, Benjamin; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
atp magazin, 63 (9) :86—93
2022

3546.

Vietz, Hannes; Maschler, Benjamin; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
atp magazin, 63 (9) :86—93
2022

3545.

Vietz, Hannes; Maschler, Benjamin; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
atp magazin, 63 (9) :86—93
2022

3544.

Vietz, Hannes; Maschler, Benjamin; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
atp magazin, 63 (9) :86—93
2022

3543.

Maschler, Benjamin; Vietz, Hannes; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Insights and Example Use Cases on Industrial Transfer Learning
Procedia CIRP, 107 :511—516
2022
ISSN: 22128271

3542.

Maschler, Benjamin; Vietz, Hannes; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Insights and Example Use Cases on Industrial Transfer Learning
Procedia CIRP, 107 :511—516
2022
ISSN: 22128271

3541.

Maschler, Benjamin; Vietz, Hannes; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Insights and Example Use Cases on Industrial Transfer Learning
Procedia CIRP, 107 :511—516
2022
ISSN: 22128271

3540.

Maschler, Benjamin; Vietz, Hannes; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Insights and Example Use Cases on Industrial Transfer Learning
Procedia CIRP, 107 :511—516
2022
ISSN: 22128271

3539.

Maschler, Benjamin; Vietz, Hannes; Tercan, Hasan; Bitter, Christian; Meisen, Tobias; Weyrich, Michael
Insights and Example Use Cases on Industrial Transfer Learning
Procedia CIRP, 107 :511—516
2022
ISSN: 22128271

3538.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3537.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3536.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3535.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3534.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3533.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3532.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3531.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3530.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3529.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3528.


KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks (WüWoWAS'22), Würzburg
2022