Dennis Haitz, M.Sc.

Dennis Haitz, M.Sc.

Curriculum Vitae

07/2023 - 10/2023 Visiting researcher at Delft University of Technology, Department of Intelligent Systems - Computer Graphics and Visualization Group
Since 09/2021 PhD-Student at the Institute of Photogrammetry and Remote Sensing (KIT)
08/2019 - 08/2021 Development Engineer, specialized in Machine Learning Integration and Image Processing at SAC Sirius Advanced Cybernetics GmbH
10/2015 - 12/2018 Master of Science in Geodesy and Geoinformatics at KIT
09/2013 - 12/2018 Research assistant (software development) at the Institute for Automation and Applied Informatics (IAI) at KIT
10/2011 - 07/2015 Bachelor of Science in Geoinformationmanagement at the University of Applied Sciences Karlsruhe (HKA)

 

Research Interests

  • Photogrammetric Computer Vision
  • Implicit and explicit 3D scene representations
  • 3D reconstruction and registration
  • Image analysis and Deep Learning

Teaching

  • Statistical Pattern Recognition and knowledge-based Image Analysis (exercise)

  • Deep Learning in Computer Vision and Remote Sensing (exercise)

Other Activities

  • PhD-student representative at the Graduate School of the Centre for Climate and Environment (GRACE)

Publications


2023
"Entwicklung eines mobilen automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS)" Teil II Abschlussbericht
Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D.
2023
Eingehende Darstellung zum Verbundvorhaben: "Entwicklung eines mobilen automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS)" Teil II
Barretto, T.; Gentes, S.; Hinz, S.; Haitz, D.
2023. Schlussbericht EMOS (2023), Bonn, Deutschland, 31. Dezember 2023
Geometric Accuracy Analysis Between Neural Radiance Fields (NERFS) and Terrestrial Laser Scanning (TLS)
Petrovska, I.; Jäger, M.; Haitz, D.; Jutzi, B.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W3-2023, 153–159. doi:10.5194/isprs-archives-XLVIII-1-W3-2023-153-2023
Combining Hololens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping
Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Hübner, P.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 167 – 174. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-167-2023
Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping
Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Huebner, P.
2023. arxiv. doi:10.48550/arXiv.2304.14301
A comparative Neural Radiance Field (NERF) 3D analsyis of camera poses from HoloLens trajectories and structure from motion
Jäger, M.; Hübner, P.; Haitz, D.; Jutzi, B.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 207–213. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-207-2023
A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications
Haitz, D.; Hübner, P.; Ulrich, M.; Jutzi, B.
2023. tm - Technisches Messen. doi:10.1515/teme-2023-0009
2022
Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects
Haitz, D.; Hübner, P.; Ulrich, M.; Landgraf, S.; Jutzi, B.
2022. Forum Bildverarbeitung 2022. Ed.: T. Längle; M. Heizmann, 73–85, KIT Scientific Publishing
Corrosion detection for industrial objects: from multi-sensor system to 5D feature space
Haitz, D.; Jutzi, B.; Hübner, P.; Ulrich, M.
2022. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2022, 143–150. doi:10.5194/isprs-archives-XLIII-B1-2022-143-2022