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
3154.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3153.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3152.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3151.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3150.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
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Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 20213146.
Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 20213145.
Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
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