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:
- 2020
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Jaeger, Jan-Gerrit; Brandau, Christoph; Tutsch, Dietmar
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Niewiadomski, Karol; Tutsch, Dietmar; Pursche, Thomas
Benefits of Low-Power Improvements at Circuit Level on Specific FPGA Architectures
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Niewiadomski, Karol; Tutsch, Dietmar; Pursche, Thomas
Benefits of Low-Power Improvements at Circuit Level on Specific FPGA Architectures
IEEE International Conference on Consumer Electronics (ICCE 2020), Las Vegas, USA, Page 1--6
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Niewiadomski, Karol; Tutsch, Dietmar; Pursche, Thomas
Benefits of Low-Power Improvements at Circuit Level on Specific FPGA Architectures
IEEE International Conference on Consumer Electronics (ICCE 2020), Las Vegas, USA, Page 1—6
Publisher: IEEE
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Benefits of Low-Power Improvements at Circuit Level on Specific FPGA Architectures
IEEE International Conference on Consumer Electronics (ICCE 2020), Las Vegas, USA, Page 1--6
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Big Data: Anwendung und Nutzungspotenziale in der Produktion
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Publisher: Verlag W. Kohlhammer, Stuttgart
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2020ISBN: 3170364766
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Big Data: Anwendung und Nutzungspotenziale in der Produktion
In Steven, Marion and Klünder, Timo, Editor from Moderne Produktion
Publisher: Verlag W. Kohlhammer, Stuttgart
1. Auflage Edition
2020ISBN: 3170364766
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Pomp, André
Bottom-up Knowledge Graph-based Data Management
from Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage Edition
2020ISBN: 9783844075311
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Pomp, André
Bottom-up Knowledge Graph-based Data Management
from Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage Edition
2020ISBN: 9783844075311
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Pomp, André
Bottom-up Knowledge Graph-based Data Management
from Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage Edition
2020ISBN: 9783844075311
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Pomp, André
Bottom-up Knowledge Graph-based Data Management
from Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage Edition
2020ISBN: 9783844075311
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Pomp, André
Bottom-up Knowledge Graph-based Data Management
from Berichte aus dem Maschinenbau
Publisher: Shaker, Düren
1. Auflage Edition
2020ISBN: 9783844075311
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Zatta, Robin; Jagtap, Vishal S.; Grzyb, Janusz; Pfeiffer, Ullrich R.
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Tiemann, M.; Schmuelling, B.; Clemens, M.
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Holtz, J.
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Steiniger, Yannik; Stoppe, Jannis; Meisen, Tobias; Kraus, Dieter
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2020ISBN: 978-1-7281-5446-6
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Steiniger, Yannik; Stoppe, Jannis; Meisen, Tobias; Kraus, Dieter
Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks
Global Oceans 2020: Singapore – U.S. Gulf Coast, Page 1—7
Publisher: IEEE
2020ISBN: 978-1-7281-5446-6
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Steiniger, Yannik; Stoppe, Jannis; Meisen, Tobias; Kraus, Dieter
Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks
Global Oceans 2020: Singapore — U.S. Gulf Coast, Page 1—7
Publisher: IEEE
2020ISBN: 978-1-7281-5446-6
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Steiniger, Yannik; Stoppe, Jannis; Meisen, Tobias; Kraus, Dieter
Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks
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Publisher: IEEE
2020ISBN: 978-1-7281-5446-6
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Scheidt, Fabian; Ou, Jifei; Ishii, Hiroshi; Meisen, Tobias
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51 :485—492
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Scheidt, Fabian; Ou, Jifei; Ishii, Hiroshi; Meisen, Tobias
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51 :485—492
2020
ISSN: 2351-97893066.
Scheidt, Fabian; Ou, Jifei; Ishii, Hiroshi; Meisen, Tobias
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51 :485—492
2020
ISSN: 2351-97893065.
Scheidt, Fabian; Ou, Jifei; Ishii, Hiroshi; Meisen, Tobias
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51 :485—492
2020
ISSN: 2351-97893064.
Scheidt, Fabian; Ou, Jifei; Ishii, Hiroshi; Meisen, Tobias
deepKnit: Learning-based Generation of Machine Knitting Code
Procedia Manufacturing, 51 :485—492
2020
ISSN: 2351-9789
