Reinhard Koch

ORCID: 0000-0003-4398-1569
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About
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Research Areas
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Optical measurement and interference techniques
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Advanced Image and Video Retrieval Techniques
  • Image Processing Techniques and Applications
  • Machine Learning and Data Classification
  • Advanced Optical Sensing Technologies
  • Video Surveillance and Tracking Methods
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Image and Object Detection Techniques
  • Augmented Reality Applications
  • Remote Sensing and LiDAR Applications
  • 3D Shape Modeling and Analysis
  • Medical Image Segmentation Techniques
  • Advanced Optical Imaging Technologies
  • Industrial Vision Systems and Defect Detection
  • Domain Adaptation and Few-Shot Learning
  • Animal Behavior and Welfare Studies
  • Advanced Neural Network Applications
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • Anomaly Detection Techniques and Applications

Kiel University
2016-2025

Fachhochschule Kiel
2015-2024

Karlsruhe Institute of Technology
1982-2021

Leopoldina Krankenhaus Schweinfurt
2019

Applied Mathematics (United States)
2009

Technische Universität Dresden
2007

Forschungszentrum Jülich
2005

KU Leuven
1998-2003

Leibniz University Hannover
1993-2002

Delft University of Technology
2002

10.1023/a:1008109111715 article EN International Journal of Computer Vision 1999-01-01

In this paper the feasibility of self-calibration in presence varying internal camera parameters is under investigation. A method presented which efficiently deals with all kinds constraints on parameters. Within framework a practical proposed can retrieve metric reconstruction from image sequences obtained uncalibrated zooming/focusing cameras. The approach illustrated real and synthetic examples.

10.1109/iccv.1998.710705 article EN 2002-11-27

Abstract A growing number of applications depend on accurate and fast 3D scene analysis. Examples are model lightfield acquisition, collision prevention, mixed reality gesture recognition. The estimation a range map by image analysis or laser scan techniques is still time‐consuming expensive part such systems. lower‐priced, robust alternative for distance measurements time‐of‐flight (ToF) cameras. Recently, significant advances have been made in producing low‐cost compact ToF devices, which...

10.1111/j.1467-8659.2009.01583.x article EN Computer Graphics Forum 2010-02-08

While deep learning strategies achieve outstanding results in computer vision tasks, one issue remains: The current rely heavily on a huge amount of labeled data. In many real-world problems, it is not feasible to create such an training Therefore, common incorporate unlabeled data into the process reach equal with fewer labels. Due lot concurrent research, difficult keep track recent developments. this survey, we provide overview often used ideas and methods image classification We compare...

10.1109/access.2021.3084358 article EN cc-by IEEE Access 2021-01-01

In this paper a new rectification method is proposed. The both simple and efficient can deal with all possible camera motions. A minimal image size without any pixel loss guaranteed. only required information the oriented fundamental matrix. whole process carried out directly in images. idea consists of using polar parametrization around epipole. transfer between images obtained through proposed has important advantages compared to traditional schemes. some cases these approaches yield very...

10.1109/iccv.1999.791262 article EN 1999-01-01

10.1016/j.cviu.2009.11.002 article EN Computer Vision and Image Understanding 2010-08-22

In this paper we deal with the camera pose estimation problem from a set of 2D/3D line correspondences, which is also known as PnL (Perspective-n-Line) problem. We carry out our study by comparing well-studied PnP (Perspective-n-Point) problem, and contributions are three-fold: (1) provide complete 3D configuration analysis for P3L, includes wellknown P3P well several existing analyses special cases. (2) By exploring similarity between PnP, propose new subset-based approach series...

10.1109/tpami.2016.2582162 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2016-06-20

10.1016/s0924-2716(00)00023-x article EN ISPRS Journal of Photogrammetry and Remote Sensing 2000-11-01

In underwater environments, cameras need to be confined in an housing, viewing the scene through a piece of glass. case flat port housings, light rays entering camera housing are refracted twice, due different medium densities water, glass, and air. This causes usually linear bend commonly used pinhole model invalid. When using without explicitly modeling refraction Structure-from-Motion (SfM) methods, systematic error occurs. Therefore, this paper, we propose system for computing path 3D...

10.1109/iccv.2013.14 article EN 2013-12-01

The analysis of 3-D scenes consisting nonrigid moving objects using 2-D image sequences is discussed. A parametric description dynamic extracted, and the time-variant scene parameters are estimated throughout sequence by employing an analysis-by-synthesis approach. Images synthesized from compared with original images input to camera. Frame differences between evaluated obtain parameter update. method applied videophone in form a data compression algorithm, whereby transmitted output at...

10.1109/34.216725 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 1993-06-01

This work presents a system for 3D reconstruction from underwater images or video. Aside camera in an housing, no special equipment is required. However, if navigational data available, it utilized the algorithm. The algorithm essence classical structure motion approach, which adapted to account imaging conditions. Hence, there need follow specialized trajectory. Adaptions environment include filtering of background and floating particles, allows robust estimation poses sparse set points....

10.1109/oceanse.2009.5278305 article EN OCEANS 2007 - Europe 2009-05-01

Head-mounted displays (HMDs) allow users to observe virtual environments (VEs) from an egocentric perspective. However, several experiments have provided evidence that distances are perceived as compressed in VEs relative the real world. Recent suggest view frustum set for rendering VE has essential impact on user's estimation of distances. In this article we analyze if distance can be improved by calibrating a given HMD and user. Unfortunately, immersive reality (VR) environment, full per...

10.1109/tvcg.2012.45 article EN IEEE Transactions on Visualization and Computer Graphics 2012-03-13
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