Publications

Data & Source

MULTIPLE 2020

Multi-View Intensity-Depth Data Set for Top-View Indoor People Detection

Contact:
Prof. Dr. Astrid Laubenheimer
Johannes Wetzel, M.Sc.

JOMS 2020

An Open Source Markerless End-to-End Training Framework for Parametric 3D Human Shape Models

Contact:
Prof. Dr. Astrid Laubenheimer
Samuel Zeitvogel, M.Sc.

VOD 2018

A Synchronized Stereo and Plenoptic Visual Odometry Dataset

Contact:
Prof. Dr. Franz Quint

Peer Reviewed Publications of the ISRG

J. Wetzel, S. Zeitvogel, A. Laubenheimer, M. Heizmann

People Detection in a Depth Sensor Network via Multi-View CNNs trained on Synthetic Data

IEEE International Symposium on Electronics and Telecommunication ISETC'20, November 5 - 6, 2020.


J. Wetzel, A. Laubenheimer, M. Heizmann

Temporal Smoothing for Joint Probabilistic People Detection in a Depth Sensor Network

IEEE International Conference on Multisensor Fusion and Integration (MFI 2020). September 14 - 16, 2020.


S. Zeitvogel, J. Dornheim, A. Laubenheimer

Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans

16th European Conference on Computer Vision, ECCV, August 23 – 28, 2020. [PDF] [source]


S. Zeitvogel, A. Laubenheimer

An Open-Source Multi-Person Shape Model Training and Inference Pipeline

11th 3DBODY.TECH Conference & Expo, 21-22 Oct. 2020, Lugano, Switzerland. [PDF]


J. Wetzel, A. Laubenheimer, M. Heizmann

Joint Probabilistic People Detection in Overlapping Depth Images

IEEE Access, vol. 8, 2020. [PDF]


G. Engel, F. Bhatti, T. Greiner, M. Heizmann, F. Quint

Distributed and Context Aware Application of Deep Neural Networks in Mobile 3D-Multi-Sensor Systems Based on Cloud-, Edge- and FPGA-Computing

Proceedings, 2020 IEEE 7th International Conference on Industrial Engineering Applications (ICIEA 2020).


J. Dornheim, N. Link, P. Gumbsch

Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning

International Journal of Control, Automation and Systems 2020 (18/6). [PDF]


N. Link, T. Iraki, J. Dornheim

Inverse Process-Structure-Property Mapping

The Upper-Rhine Artificial Intelligence Symposium UR-AI 2020.


S. Zeitvogel, J. Wetzel, A. Laubenheimer

Scene-Adaptive Disparity Estimation in Depth Sensor Networks Using Articulated Shape Models

The Upper-Rhine Artificial Intelligence Symposium UR-AI 2020.

F. Bhatti, G. Engel, M. Engelsberger, M. Ziebarth, N. Zeller N, J. Beyerer, T. Greiner, M. Heizmann, F. Quint

Context Aware 3D Image Processing and Acquisition: A Service-Oriented System in Scope of I4.0 Applications

atp Magazin, Nr. 3, pp. 76-86, 2019.


N. Link, J. Dornheim

Machine Learning Methods for State Tracking and Optimal Control of Production Processes

The Upper-Rhine Artificial Intelligence Symposium UR-AI 2019.


M. Rees, M. Senn, P. P. Brahma, A. Laubenheimer

Modular Novelty Detection System for Driving Scenarios

Proceedings, Collaborative European Reseach Conference CERC, March 2019.


J. Wetzel, S. Zeitvogel, A. Laubenheimer, M. Heizmann

Scene Adaptive Optimization Scheme for Depth Sensor Networks

Proceedings, Collaborative European Reseach Conference CERC, March 2019. [PDF]

M. Ziebarth, N. Zeller, M. Heizmann, F. Quint:

Modeling the Unified Measurement Uncertainty of Deflectometric and Plenoptic 3-D Sensors

Journal of Sensors and Sensor Systems 7 (2), 517-533


N. Zeller, F. Quint, U. Stilla:

Scale-Awareness of Light Field Camera based Visual Odometry

15th European Conference on Computer Vision, ECCV, September 8 – 14, 2018


S. Zeitvogel, A. Laubenheimer:

Towards End-to-End 3D Human Avatar Shape Reconstruction from 4D Data

Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018


J. Wetzel, S. Zeitvogel, A. Laubenheimer, M. Heizmann:

Towards Global People Detection and Tracking using Multiple Depth Sensors

Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018. [PDF]


J. Dornheim, N. Link:

Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes

Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018

Dornheim J., Link N.

Reinforcement Learning Based Approach for Optimal Deep Drawing Process Control

Proceedings, Collaborative European Reseach Conference CERC, September 2017.


Zeitvogel S., Laubenheimer A.

3D Human Surface Registration using Subdivision Surfaces

Proceedings, Collaborative European Reseach Conference CERC, September 2017.


Hippe R., Dornheim J., Zeitvogel S., Laubenheimer A.

Evaluation of Machine Learning Algorithms for Smurf Detection

Proceedings, Collaborative European Reseach Conference CERC, September 2017.


N. Zeller, F. Quint, U. Stilla

From the Calibration of a Light-Field Camera to Direct Plenoptic Odometry

IEEE Journal of Selected Topics in Signal Processing, Vol. 11, Nr. 7, p. 1004-1019, 2017.


J. Reis, G. Gil, N. Link

Meta-Process Modeling Methodology for Process Model Generation in Intelligent Manufacturing

43rd Annual Conference of the IEEE Industrial Electronics Society, 2017.

N. Zeller, F. Quint, U. Stilla.:

Depth estimation and camera calibration of a focused plenoptic camera for visual odometry

ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 118, pp. 83-100 (2016)


N. Zeller, C. Noury, F. Quint, C. Teuliere, U. Stilla, M. Dhome:

Metric calibration of a focused plenoptic camera based on a 3d calibration target

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-3: 449-456


N. Zeller, F. Quint, M. Sütterlin, U. Stilla:

Investigating Mathematical Models for Focused Plenoptic Cameras

Proceedings, 12th IEEE International Symposium on Electronics and Telecommunication ISETC'16, Timisoara, 2016, p. 285-288


J. Konz, N. Zeller, F. Quint, U. Stilla:

Depth Estimation from Micro-Images of a Plenoptic Camera

3rd Baden-Württemberg Center of Applied Research Symposium on Information and Communication Systems SInCom 2016, p. 17-23


A. Kühefuß, N. Zeller, F. Quint, U. Stilla:

Feature Based RGB-D SLAM for a Plenoptic Camera

3rd Baden-Württemberg Center of Applied Research Symposium on Information and Communication Systems SInCom 2016, p. 25-29.


Zeitvogel, S., Laubenheimer, A.:

Fitting a deformable 3D human body model to depth images using convolutional neural networks

Proceedings, 12th IEEE International Symposium on Electronics and Telecommunication ISETC'16, Timisoara, 2016, p. 321 - 326

Link, N.:

Globally optimized production by co-operating production agents based on Bellmans principle,

(INTELLI2015), ISBN: 978-1-61208-437-4, (2015), pp 134-139


Wang, H., Schwab I., Emmerich M.:

Comparing Knowledge Representation Forms in Empirical Model Building,

(INTELLI2015), ISBN: 978-1-61208-437-4, (2015), pp 170-178


Fischer, S.:

Process State Observation using Artificial Networks and Symbolic Regression,

(INTELLI2015), ISBN: 978-1-61208-437-4, (2015), pp 142-147


Pollak, J.:

Application of Task-to-Method Transform to Laser Seam Welding,

(INTELLI2015), ISBN: 978-1-61208-437-4, (2015), pp 128-133


Senn, M., Schwab, I., Link, N.:

Process chain optimization using universal state and control features,

(INTELLI2015), ISBN: 978-1-61208-437-4, (2015), pp 126-127


Fischer, S., Hensgen, O., Elshaabiny, M., Link, N. :

Generating Low-dimensional Nonlinear Process Representations by Ordered Features,

15th IFAC Symposium on Information Control in Manufacturing,

11.-13.05.2015, Ottawa Canada. Elsevier IFAC-PapersOnline 48(3), (2015), pp 1037-1042.


IJsselmuiden, J., Dornheim, J. :

Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning,

12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015

IEEE, 2015


R. Vasko, N. Zeller, F. Quint, U. Stilla:

A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera

Springer Lecture Notes in Computer Sciences 9475: Advances in Visual Computing, 2015, p. 70-80.


N. Zeller, F. Quint, U. Stilla:

Filtering Probabilistic Depth Maps Received from a Focused Plenoptic Camera

Proceedings, 2nd BW-CAR Symposium on Information and Communication Systems, SInCom 2015, p. 7-12.


N. Zeller, F. Quint, U. Stilla:

Establishing a Probabilistic Depth Map from Focused Plenoptic Cameras

Proceedings International Conference on 3D Vision (3DV), p. 91-99, 2015.


N. Zeller, F. Quint, U. Stilla:

Narrow Field of View Odometry based on a Focused Plenoptic Camera

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3/W4, 2015.

Senn, M., Link, N., Pollak, J., Lee, J. H.:

Reducing the computational effort of optimal process controllers for continuous state spaces by using

incremental learning and post-decision state formulations.

Journal of Process Control, 24(3), (2014), pp 133-143.


Sarveniazi, A.:

An Actual Survey of Dimensionality Reduction.

American Journal of Computational Mathematics, 4, (2014) pp 55-72.


N. Zeller, F. Quint, U. Stilla:

Applying a Traditional Calibration Method to a Focused Plenoptic Camera.

Proceedings, 1st BW-CAR Symposium on Information and Communication Systems, SInCom, p. 19-24, 2014.


N. Zeller, F. Quint, C. Zangl, U. Stilla:

Edge Segmentation in Images of a Focused Plenoptic Camera.

Proceedings, 11th IEEE International Symposium on Electronics and Telecommunication ISETC'14, p. 269-272, 2014.


R. Ionel, S. Ionel, P. Bauer, F. Quint:

Water Leakage Monitoring Education: Cross Correlation Study via Spectral Whitening.

Proceedings, 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, p. 2465-2471, 2014.


N. Zeller, F. Quint, U. Stilla:

Callibration and accuracy analysis of a focused plenoptic camera.

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3, p. 205-212, 2014.


N. Zeller, F. Quint, L. Guan:

Kinect based 3D Scene Reconstruction.

Communication Paper Proceedings 22nd International Conference on Computer Graphics, Visualization and Computer Vision (WSCG), Prague, Vol. 22, p. 73-81, 2014.


N. Zeller, F. Quint, U. Stilla:

Kalibrierung und Genauigkeitsuntersuchung einer fokussierten plenoptischen Kamera.

Seyfert H 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Vol. 23, 2014.


N. Zeller, F. Quint, L. Guan:

Hinderniserkennung mit Microsoft Kinect.

Seyfert H 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Vol. 23, 2014.

Schwab, I., Senn, M., Fischer, S., Link, N.:
Flexible Process Modeling Determined by Existing Human Expert Domain Knowledge Bases,
(INTELLI2013), ISBN: 978-1-61208-269-1, (2013), pp 48-53.

Senn, M., Jöchen, K., Phan Van, T., Böhlke, T., Link, N.:

In-depth online monitoring of the sheet metal process state derived from multi-scale simulations.

The International Journal of Advanced Manufacturing Technology, Volume 68(9-12), (2013), pp 2625-2636


Schwab, I., Link, N.:

Manufacturing Tasks modelled by Functional Roots,

International Journal on Advances in Intelligent Systems,  (2013)


Senn, M., Link, N., Gumbsch, P.:

Optimal Process Control through Feature-Based State Tracking along Process Chains,

Proceedings of the 2nd World Congress on Integrated Computational Materials Engineering (ICME).

John Wiley & Sons, (2013), pp 69-74


L. Ivascu, M. Izvercian, F. Quint, A. Radu:

Applying the principles of activity-based costing method for the modeling of the sustainable university

6. Int. Conference on Manufacturing, Science and Education, MSE, p.465-468, 2013.


A. Radu, M. Izvercian, F. Quint, L. Ivascu:

Modelling human resources education in the e-learning and e-teaching era

6. Int. Conference on Manufacturing, Science and Education, MSE, p. 205-208, 2013.

Senn, M., Link, N.:

Revealing effects of dynamic characteristics in process monitoring and their influences on quality prediction,

Proceedings of the 8th International Conference of Numerical Analysis and Applied Mathematics, Rhodes,

Greece, 2010; AIP Conference Proceedings 1504 (International Conference of Computational Methods in

Sciences and Engineering 2009),(2012), pp. 1306-1309.


Schwab, I., Link, N.:

Functional Roots and Manufacturing Tasks,

(INTELLI2012), ISBN: 978-1-61208-224-0, (2012), pp 35-40.


Schwab, I., Link, N.:

Gaining Insights from Symbolic Regression Representation of Class Boundaries,

(COGNITIVE 2012), ISBN: 978-1-61208-218-9, (2012), pp 31-36.


Schwab, I., Link, N.:

Learn more about your Data: A Symbolic Regression Knowledge Representation Framework,

IJIS, 2 (24A), (2012), pp 135-142.


Schwab, I., Senn, M., Link, N.:

Improving Expert Knowledge in Dynamic Process Monitoring by Symbolic Regression,

(ICGEC 2012), ISBN: 978-1-4673-2138-9, (2012), pp 132-135.


Mohammed, A. A., Laubenheimer A., Salih, Y. A.:

Efficient Face Tracking and Detection in Video: Based on Template Matching,

Proceedings of The 2012 International Conference on Image Processing, Computer Vision,

and Pattern Recognition (IPCV 2012),

Las Vegas, Nevada, USA, 2012.


Gessat, M., Pollok, T., Laubenheimer, A., Link, N., Sündermann, S., Falk, V.:

Automatic Landmark Extraction for Stent Deformation Analysis after Transcather Aortic Valve Implantation,

Proceedings of Computer Assisted Radiology and Surgery (CARS 2012).

Pisa, Italy, 2012.

Senn, M., Link, N.:

Generic Process Observers, Paderborn, 24. Workshop Composite Forschung in der Mechanik,

5. Forum Metallplastizität, 30.11.2011-01.12.2011, Paderborn,

Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik (LTM) Universität Paderborn, (2011), p. 22.


Hartmann, B.:

Human worker activity recognition in industrial environments,

KIT Scientific Publishing, Karlsruhe, (2011), ISBN: 978-3-86644-643-4.


Junker, O., Strauss, V., Majer, R., and Link, N.:

Real-time video analysis of pedestrians to support agent simulation of people behaviour,

Ed.: R. D. Peacock, E. D. Kuligowski, J. D. Averill, Springer Verlag, ISBN 978-1-4419-9724-1, (2011), pp 81-94.

Schwab, I., Link, N.:

Prozessmodellierung durch Symbolische Regression,

Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH,

ISBN 978-3-8322-9036-8, (2010), pp 113-117.


Senn, M., Link, N.:

Prozessmodellierung und -regelung mit statistischen und generischen Beobachtermodellen,

Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH,

ISBN 978-3-8322-9036-8, (2010), pp 27-31.

Senn, M., Link, N.:
Monitoring and Control of Process Behaviour, 22. Workshop Composite Forschung in der Mechanik, 3.
Forum Metallplastizität, 01.- 02.12.2009, Paderborn, Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik
(LTM) Universität Paderborn, (2009), pp 24-25.

Other Publications of the ISRG

- Online Publications, Books and Book Contributions, Posters -

A. Christ, F. Quint (Eds.)

Artificial Intelligence: from research to Application

URAI 2019, ISBN 978-3-9820756-0-0. [arXiv]

Schwab, I., Link, N.:

Solving Large Combinatorial Problems with Big Data Approaches, Poster presented at

The First International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2015),

19.-24.04.2015, (2015), Barcelona, Spain


Link, N.:

Optimization Methods in Networked Production Machines,

In: Forschung aktuell 2015, Hochschule Karlsruhe,

ISSN: 1613-4958, pp 8-12.

Schwab, I., Link, N.:

I-RAMP3 - Intelligent Reconfigurable Machines for Smart Plug&Produce Production,

Poster presented at the International Conference on Intelligent Systems and Applications (INTELLI2014),

22.-26.06.2014, (2014), Seville, Spain.


Fischer, S.; Link, N.:

Towards on-line state tracking with data-driven process models.

In: Proceedings of the 11th World Congress on Computational Mechanics (WCCM XI),

5th European Conference on Computational Mechanics (ECCM V).

EDs.: Oñate, E Oliver, J.; Huerta, A.,

Barcelona (Spain): CIMNE, (2014),

ISBN: 978-84-942844-7-2, pp 2358–2366.


Fischer, S.; Link, N.:

Graduiertenkolleg 1483: Zustandsverfolgung mit datengetriebenen Prozessmodellen.

In: Forschung aktuell 2014, Hochschule Karlsruhe,

ISSN: 1613-4958, pp 42-44.

Senn, M., Link, N.:
Monitoring and Control of Process Behaviour,
22. Workshop Composite Forschung in der Mechanik,
3. Forum Metallplastizität, 01.- 02.12.2009,
Paderborn, Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik (LTM) Universität Paderborn, (2009), pp 24-25.

Senn, M., Pollak, J., Link, N.:

Process Observation and Control: Identifying functional dependencies between input, hidden state and output,

Proceedings of the Summer School 2011, Graduate School 1483,

Process Chains in Production: Interaction, Modelling and Assessment of Process Zones,

Hrsg: R. Pabst, V. Schulze, KIT Scientific Publishing, (2012), pp 21-24.


Link, N., Peschl, M.:

The New Manufactron Production Technology Paradigm, Forschung aktuell 2012,

ISSN: 1613-4948, pp 60-62

Senn, M., Link, N.:

Generic Process Observers, Paderborn, 24. Workshop Composite Forschung in der Mechanik,

5. Forum Metallplastizität, 30.11.2011-01.12.2011, Paderborn,

Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik (LTM) Universität Paderborn, (2011), p. 22.


Hartmann, B.:

Human worker activity recognition in industrial environments,

KIT Scientific Publishing, Karlsruhe, (2011), ISBN: 978-3-86644-643-4.


Junker, O., Strauss, V., Majer, R., and Link, N.:

Real-time video analysis of pedestrians to support agent simulation of people behaviour,

Ed.: R. D. Peacock, E. D. Kuligowski, J. D. Averill, Springer Verlag, ISBN 978-1-4419-9724-1, (2011), pp 81-94.


Link, N., Senn, M.:

Prediction of Process State Behavior Based on Observable Process Dynamics,

Forschung aktuell 2011, ISSN: 1613-4958, pp 47-51.


Link, N., Hartmann, B.:

A Human Machine Interface for Integrating Human Workers in an Intelligent Factory,

Forschung aktuell 2011, ISSN: 1613-4958, pp 52-54.

Schwab, I., Link, N.:

Prozessmodellierung durch Symbolische Regression,

Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH,

ISBN 978-3-8322-9036-8, (2010), pp 113-117.


Senn, M., Link, N.:

Prozessmodellierung und -regelung mit statistischen und generischen Beobachtermodellen,

Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH,

ISBN 978-3-8322-9036-8, (2010), pp 27-31.


Pollak, J., Sarveniazi, A., Link, N.:

Maschinelles Erlernen von Fertigungsprozessen aus experimentellen Daten und Anwendung auf den

Widerstandspunktschweißprozess,

Forschung aktuell 2010, ISSN: 1613-4958, pp 24-26.


Schwab, I., Senn, M., Dewal, G., Link, N.:

Modellierung von Materialbearbeitungsprozessketten für die Online-Regelung,

Forschung aktuell 2010, ISSN: 1613-4958, pp 62-63.

Senn, M., Link, N.:
Monitoring and Control of Process Behaviour, 22. Workshop Composite Forschung in der Mechanik, 3.
Forum Metallplastizität, 01.- 02.12.2009, Paderborn,
Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik
(LTM) Universität Paderborn, (2009), pp 24-25.