World's Best Scientists 2026 revealed!
Reinhard Koch

Reinhard Koch

D-Index & Metrics

Computer Science

D-Index
50
Citations
13170
World Ranking
5521
National Ranking
254

Overview

Reinhard Koch is affiliated with Kiel University in Germany and specializes in the field of Computer Science, with a total of 48 publications in this area. Their work predominantly focuses on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Small Animals.

The primary topics covered in their research include Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Advanced Vision and Imaging, Animal Behavior and Welfare Studies, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, and Retinal Imaging and Analysis.

Reinhard Koch has contributed to numerous scientific venues, with frequent publications in arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Sensors, Journal of Imaging, and Informatik-Spektrum.

Some of their recent research papers include:

  • A Survey on Semi-, Self- and Unsupervised Learning for Image Classification, 2021, IEEE Access
  • Panoptic Segmentation of Individual Pigs for Posture Recognition, 2020, Sensors
  • Usage of computer vision analysis for automatic detection of activity changes in sows during final gestation, 2020, Computers and Electronics in Agriculture
  • Automated classification of nanoparticles with various ultrastructures and sizes via deep learning, 2023, Ultramicroscopy
  • MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss, 2022, Medical Imaging 2022: Image Processing

The scientist frequently collaborates with a core group of co-authors, including Lars Schmarje, Monty Santarossa, Claudius Zelenka, Rainer Kiko, and Nina Volkmann.

Best Publications

  • Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters

    Marc Pollefeys;Reinhard Koch;Luc Van Gool

  • Visual Modeling with a Hand-Held Camera

    Marc Pollefeys;Luc Van Gool;Maarten Vergauwen;Frank Verbiest

  • Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters

    M. Pollefeys;R. Koch;L. Van Gool

  • Time-of-Flight Cameras in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency

    Lilian Zhang;Reinhard Koch

  • A simple and efficient rectification method for general motion

    M. Pollefeys;R. Koch;L. Van Gool

  • Automated reconstruction of 3D scenes from sequences of images

    M Pollefeys;R Koch;M Vergauwen;L Van Gool

  • Time-of-Flight sensor calibration for accurate range sensing

    Marvin Lindner;Ingo Schiller;Andreas Kolb;Reinhard Koch

  • Multi Viewpoint Stereo from Uncalibrated Video Sequences

    Reinhard Koch;Marc Pollefeys;Luc J. Van Gool

  • Time-of-Flight Sensors in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • Dynamic 3-D scene analysis through synthesis feedback control

    R. Koch

  • A Survey on Semi-, Self- and Unsupervised Learning for Image Classification

    Lars Schmarje;Monty Santarossa;Simon-Martin Schroder;Reinhard Koch

  • Pose Estimation from Line Correspondences: A Complete Analysis and a Series of Solutions

    Chi Xu;Lilian Zhang;Li Cheng;Reinhard Koch

  • Nonlinear body pose estimation from depth images

    Daniel Grest;Jan Woetzel;Reinhard Koch

  • Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera

    Benno Heigl;Reinhard Koch;Marc Pollefeys;Joachim Denzler

  • Metric 3D surface reconstruction from uncalibrated image sequences

    Marc Pollefeys;Reinhard Koch;Maarten Vergauwen;Luc J. Van Gool

  • Calibration of a multi-camera rig from non-overlapping views

    Sandro Esquivel;Felix Woelk;Reinhard Koch

  • Pose estimation and map building with a Time-Of-Flight-camera for robot navigation

    A. Prusak;O. Melnychuk;H. Roth;I. Schiller

  • A Comparison of PMD-Cameras and Stereo-Vision for the Task of Surface Reconstruction using Patchlets

    C. Beder;B. Bartczak;R. Koch

  • 3-D surface reconstruction from stereoscopic image sequences

    R. Koch

Frequent Co-Authors

Marc Pollefeys
Marc Pollefeys ETH Zurich
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Andreas Kolb
Andreas Kolb University of Siegen
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Michael Felsberg
Michael Felsberg Linköping University
Morten Willatzen
Morten Willatzen Chinese Academy of Sciences
Arne Körtzinger
Arne Körtzinger GEOMAR Helmholtz Centre for Ocean Research Kiel
Luca Palmieri
Luca Palmieri University of Padua

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens a wide range of opportunities, from associate degrees to advanced careers. For those wanting to jumpstart their journey, exploring an online associate degree is a flexible and affordable way to gain foundational skills. These programs often serve as stepping stones to bachelor’s degrees or entry-level tech roles.

Cost is a common concern, but there are many most affordable online colleges that offer quality education without the heavy financial burden. This makes higher learning more accessible to students from all backgrounds.

Some students may worry about past academic performance. Fortunately, you can apply to a college that accepts low gpa, ensuring your learning goals aren’t held back by earlier challenges.

Beyond traditional tech careers, computer science skills are valuable in emerging fields. For example, environmental technology integrates coding and data analysis. If you’re curious about how tech applies to sustainability, explore what can you do with an environmental studies degree for further career ideas.

Best Scientists Citing Reinhard Koch

Trending Scientists

Recently Published Articles