Publications

F. Huber, V. Steinhage:
Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values.
Geomatics 4 (3), 286-310, 2024, https://www.mdpi.com/2673-7418/4/3/16

M. Henrich, M. Burgueño, J. Hoyer, T. Haucke, V. Steinhage, H. Kuehl, M. Heurich:
A semi-automated camera trap distance sampling approach for population density estimation.
Remote Sensing in Ecology and Conservation, Wiley, 2023, https://zslpublications.onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.362

F. Huber, S. Schulz, V. Steinhage:
Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions.
Sensors 24 (5), 1604, 2024, https://www.mdpi.com/1424-8220/24/5/1604

A. Borstelmann, T. Haucke, V. Steinhage:
The Potential of Diffusion-Based Near-Infrared Image Colorization.
Sensors 24 (5), 1565, 2024, https://www.mdpi.com/1424-8220/24/5/1565

A. Inderka, F. Huber, V. Steinhage:
On Convolutional Vision Transformers for Yield Prediction.
2024, arXiv preprint arXiv:2402.05557

F. Huber, A. Inderka, V. Steinhage:
Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning.
Sensors 24 (3), 770, 2024, https://www.mdpi.com/1424-8220/24/3/770

F. Schindler, V. Steinhage, S. TS van Beeck Calkoen, M. Heurich:
Action Detection for Wildlife Monitoring with Camera Traps Based on Segmentation with Filtering of Tracklets (SWIFT) and Mask-Guided Action Recognition (MAROON).
Applied sciences 14 (2), 514, 2024, https://www.mdpi.com/2076-3417/14/2/514

F. Huber, B. Hofmann, H. Engler, P. Gauweiler, B. Fischer, K. Herzog, A. Kicherer, R. Töpfer, R. Gruna, V. Steinhage:
A Concept Study for Feature Extraction and Modeling for Grapevine Yield Prediction.
Vitis: Vol.63, 2024, https://publica.fraunhofer.de/bitstreams/6959712d-3e91-4960-989f-e44eedde5260/download

F. Schindler, V. Steinhage:
SWIFT - an efficient and effective application of instance segmentation and tracking in wildlife monitoring.
Workshop Online Proceedings "Camera Traps, AI and Ecology", Jena, Sep. 2023

F. Huber, H. Engler, A. Kicherer, K. Herzog, R. Töpfer, V. Steinhage:
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction.
Intelligent Systems Conference, 210-228, 2023, https://arxiv.org/pdf/2304.07111.pdf

H. Engler, P. Gauweiler, F. Huber, J. Krause, B. Fischer, B. Hofmann, P. Schumacher, A. Yushchenko, R. Gruna, V. Steinhage, K. Herzog, R. Töpfer, A. Kicherer:
PHENOquad: A new multi sensor platform for field phenotyping and screening of yield relevant characteristics within grapevine breeding research.
Vitis, 2023 Special Issue, Vol. 62, p41-48. 8p, July 2023, https://ojs.openagrar.de/index.php/VITIS/article/view/17315/16803

T. Haucke, H. S. Kühl, V. Steinhage:
SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision.
Sensors, 22(23), 9082, MDPI, 2022, https://doi.org/10.3390/s22239082

F. Schindler, V. Steinhage:
Instance segmentation and tracking of animals in wildlife videos: SWIFT - Segmentation WIth Filtering of Tracklets.
Ecological Informatics, Elsevier, Vol. 71, 101794, 2022, https://doi.org/10.1016/j.ecoinf.2022.101794

F. Huber, A. Yushchenko, B. Stratmann, V. Steinhage:
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches.
Computers and Electronics in Agriculture, Elsevier, Vol. 202, 107346, 2022, https://doi.org/10.1016/j.compag.2022.107346

M. Klasen, V. Steinhage:
Wildlife 3D multi-object tracking.
Ecological Informatics, Elsevier, Vol. 71, 101790, 2022, https://www.sciencedirect.com/science/article/pii/S1574954122002400

F. Rist, F. Schwander, R. Richter, J. Mack, A. Schwandner, L. Hausmann, V. Steinhage, R. Töpfer, K. Herzog:
Relieving the Phenotyping Bottleneck for Grape Bunch Architecture in Grapevine Breeding Research: Implementation of a 3D-Based Phenotyping Approach for Quantitative Trait Locus Mapping.
Horticulturae, 8(10), 907, MDPI, 2022, https://doi.org/10.3390/horticulturae8100907

T. Haucke, H. S. Kühl, V. Steinhage:
SOCRATES: a stereo camera trap for monitoring of biodiversity.
Oct. 2022, https://arxiv.org/pdf/2209.09070

P. Johanns, T. Haucke, V. Steinhage:
Automated distance estimation for wildlife camera trapping.
Ecological Informatics, Elsevier, Vol. 70, 101734, 2022, https://doi.org/10.1016/j.ecoinf.2022.101734

H. Engler, P. Gauweiler, F. Huber, J. Kraus, B. Fischer, P. Schumacher, A. Yushchenko, R. Gruna, V. Steinhage, K. Herzog, R. Töpfer, A. Kicherer:
Sensor based screening of yield relevant characteristics within grapevine breeding research.
Julius-Kühn-Archiv . July 2022, Issue 470, p32-32. 1p.

T. Haucke, H. S. Kühl, J. Hoyer, V. Steinhage:
Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps.
Ecological Informatics, Elsevier, Vol. 68, 101536, 2022, https://www.sciencedirect.com/science/article/pii/S1574954121003277

M. Klasen, V. Steinhage:
Improving wildlife tracking using 3D information.
Ecological Informatics, Elsevier, Vol. 68, 101536, 2022, https://doi.org/10.1016/j.ecoinf.2021.101535

J. W. Wägele, P. Bodesheim, S. J. Bourlat, J. Denzler, M. Diepenbroek, V. Fonseca, K.-H. Frommolt, M. F. Geiger, B. Gemeinholzer, F. O. Glöckner , T. Haucke, A. Kirse, A. Kölpin, I.Kostadinov, H. S. Kühl, F. Kurth, M. Lasseck, S. Liedke, F. Losch, S. Müller, N. Petrovskaya, K. Piotrowski, B. Radig, C. Scherber, L. Schoppmann, J. Schulz, V. Steinhage, G. F. Tschan, W. Vautz, D. Velotto, M. Weigend, S. Wildermann:
Towards a multisensor station for automated biodiversity monitoring.
Basic and Applied Ecology, Vol. 59, 105 - 138, Elsevier, 2022, https://doi.org/10.1016/j.baae.2022.01.003

J. Greis, A. Yushchenko, D. Vogel, M. Meier, V. Steinhage:
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning.
Int. J. Information Privacy, Security and Integrity, Vol. 5, No. 1, 2021, https://www.inderscienceonline.com/doi/abs/10.1504/IJIPSI.2021.119166

F. Schindler, V. Steinhage:
Saving costs for video data annotation in wildlife monitoring.
Ecological Informatics, Elsevier, Vol. 65, 101418, 2021, https://doi.org/10.1016/j.ecoinf.2021.101418

B. Radig, P. Bodesheim, D. Korsch, J. Denzler, T. Haucke, M. Klasen, V. Steinhage:
Automated Visual Large Scale Monitoring of Faunal Biodiversity.
Pattern Recognition and Image Analysis, Vol. 31, No. 3, 477-488. 2021, https://doi.org/10.1134/S1054661821030214

M. Klasen, D. Ahrens, J. Eberle, V. Steinhage:
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
Systematic Biology, 06 2021. syab048, 2021, https://doi.org/10.1093/sysbio/syab048

F. Schindler, V. Steinhage:
Identification of Animals and Recognition of their Actions in Wildlife Videos using Deep Learning Techniques.
Ecological Informatics, Elsevier, Vol. 61, 101215, https://www.sciencedirect.com/science/article/pii/S1574954121000066, https://doi.org/10.1016/j.ecoinf.2021.101215, 2021.

T. Haucke, K. Herzog, P. Barré, R. Höfle, R. Töpfer, V. Steinhage:
Improved optical phenotyping of the grape berry surface using light-separation and automated RGB image analysis.
VITIS Journal of Grapevine Research, Vol. 60, No. 1, 2021, https://doi.org/10.5073/vitis.2021.60.1-10

T. Haucke, V. Steinhage:
Exploiting Depth Information for Wildlife Monitoring.
https://arxiv.org/abs/2102.05607

K. Buschbacher, V. Steinhage:
On the Extraction and Relevance Ranking of Visual Morphological Traits for Taxon Identification.
Ecological Informatics, Vol. 60, 101017, Elsevier, 2020, https://doi.org/10.1016/j.ecoinf.2020.101138

M. Klasen, D. Ahrens, J. Eberle, V. Steinhage:
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
CoRR, abs/:2010.09009, 2020, https://arxiv.org/abs/2010.09009

J. Mack, F. Rist, K. Herzog, R. Töpfer, V. Steinhage:
Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping.
Biosystems Engineering, Vol. 197, 285-305, Elsevier, 2020, https://doi.org/10.1016/j.biosystemseng.2020.07.004

K. Buschbacher, D. Ahrens, M. Espeland, V. Steinhage:
Image-Based Species Identiﬁcation of Wild Bees Using Convolutional Neural Networks.
Ecological Informatics, Vol. 55, 101138, Elsevier, 2020, https://doi.org/10.1016/j.ecoinf.2019.101017

J. Mack:
Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping.
PhD Thesis, URL: http://hss.ulb.uni-bonn.de/2019/5629/5629.htm, 2019.

F. Rist, D. Gabriel, J. Mack, V. Steinhage, R. Töpfer, K. Herzog:
Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches.
Remote Sensing, 11(24):2953, MDPI, 2019, https://doi.org/10.3390/rs11242953

J. Grimm, K. Herzog, F. Rist, A. Kicherer, R. Töpfer, V. Steinhage:
An Adaptable Approach to Automated Visual Detection of Plant Organs with Applications in Grapevine Breeding.
Biosystems Engineering, Vol. 183, 170-183, Elsevier, 2019, https://doi.org/10.1016/j.biosystemseng.2019.04.018

P. Barré, K. Herzog, R. Höfle, M. B. Hullin, R. Töpfer, V. Steinhage:
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks.
Computers and Electronics in Agriculture, Vol. 156, 263-274, Elsevier, 2019, https://doi.org/10.1016/j.compag.2018.11.012

R. Rudolph, K. Herzog, R. Töpfer and V. Steinhage:
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks.
VITIS Journal of Grapevine Research, Vol. 58, No. 3, 95-104, 2019, https://doi.org/10.5073/vitis.2019.58.95-104

R. Rudolph, K. Herzog, R. Töpfer, V. Steinhage:
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks.
https://arxiv.org/abs/1807.03770, 2018.

J. Mack, F. Schindler, F. Rist, K. Herzog, R. Töpfer, V. Steinhage:
Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor.
Computers and Electronics in Agriculture, Vol. 155, pp. 96-102, doi: 10.1016/j.compag.2018.10.011, https://www.openagrar.de/receive/openagrar_mods_00043458 ,Elsevier, 2018.

B. Japes, J. Mack, F. Rist, K. Herzog, R. Töpfer, V. Steinhage:
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping.
arXiv preprint arXiv:1805.03994, URL: https://arxiv.org/abs/1805.03994, 2018.

F. Rist, K. Herzog, J. Mack, R. Richter, V. Steinhage, R. Töpfer:
High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation.
Sensors 2018, Vol. 18, No. 3, pp. 763; doi:10.3390/s18030763, https://doi.org/10.3390/s18030763, 2018.

T. Adams, J. Dörpinghaus, M. Jacobs, V. Steinhage:
Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM.
Proc. Fed. Conf. Comp. Science and Information Systems (FedSCIS), Poznan, Poland, 9 - 12 September, 2018.

P. Barré, B. Stöver, K. Müller, V. Steinhage: LeafNet:
A Computer Vision System for Automatic Plant Species Identification.
Ecological Informatics, Vol. 40, 50-56, Elsevier, 2017.

J. Mack, C. Lenz, J. Teutrine, V. Steinhage:
High-precision 3D detection and reconstruction of grapes from laser range data for efficient phenotyping based on supervised learning.
Computers and Electronics in Agriculture, Vol. 135, No. 1, pp. 300-311, doi: 10.1016/j.compag.2017.02.017, Elsevier, 2017.

J. Janai, J. Behley, V. Steinhage:
Tracking of Arbitrary Objects in 3D Laser Range Data.
Proc. GFaI-Workshop 3D-NordOst 2017, Berlin, Dec. 7-8, 2017, pp. 61-70.

J. Mack, A. Trakowski, F. Rist, K. Herzog, R. Töpfer, V. Steinhage:
Experimental Evaluation of the Performance of Local Shape Descriptors for the Classification of 3D Data in Precision Farming.
Journal of Computer and Communications, Vol. 5, No. 12, doi: 10.4236/jcc.2017.512001, 2017.

J. Grimm, M. Hoffmann, B. Stöver, K. Müller, V. Steinhage:
Image-based Identification of Plant Species using a Model-Free Approach and Active Learning.
Accepted for: Joint German/Austrian Conf. on Artificial Intelligence, 2016.

F. Schöler, V. Steinhage:
Automated 3D reconstruction of grape cluster architecture from sensor data for efficient phenotyping.
Comput. Electron. Agric. (Elsevier), vol. 114, pp. 163–177, 2015.

J. Behley, V. Steinhage, A.B. Cremers:
Efficient Radius Neighbor Search in Three-dimensional Point Clouds.
Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 3625-3630, 2015.

V. Steinhage:
Automated Pollinator Monitoring for Crop Farming.
Proc. of the Germ. Conf. on Informatics in Agriculture, Forestry and Food Economy (GIL), pp. 169-172, 2015.

V. Steinhage, F. Schöler:
Automated Reconstruction of 3D Plant Architecture Applied to Grapevine Phenotyping.
Proc. of the Germ. Conf. on Informatics in Agriculture, Forestry and Food Economy (GIL), pp. 173-176, 2015.

J. Behley, V. Steinhage, A.B. Cremers:
Laser-based Segment Classification Using a Mixture of Bag-of-Words.
Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4195-4200, 2013.

V. Steinhage, J. Behley, S. Meisel, A.B. Cremers:
Reconstruction by components for automated updating of 3D city models.
Applied Geomatics 5(4), pp. 285-298, Springer, 2013.

D. L. Michels, S. A. Giesselbach, T. Werner, V. Steinhage:
On Feature Extraction for Fingerprinting Grapevine Leaves.
Proc. Intern. Conf. on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, Las Vegas, Nevada, USA, July 22-25, 2013.

J. Balfer, F. Schöler, V. Steinhage:
Semantic Skeletonization for Structural Plant Analysis.
7th Intern. Conf. on Functional-Structural Plant Models (FSPM 2013), Saariselkä, Finland, June 9-14, pp. 42-44, 2013.

F. Schöler, J. Balfer, V.Steinhage:
Automated Parameter Estimation for a Plant Architecture Model.
7th Intern. Conf. on Functional-Structural Plant Models (FSPM 2013), Saariselkä, Finland, June 9-14, pp. 22-24, 2013.

V. Steinhage, F. Schöler, J. Balfer:
A Model-Based Approach to High Performance Phenotyping.
Proc. of 26th Intern. Conf. on Informatics for Environmental Protection (EnviroInfo 2012), Dessau, Germany, Aug. 29-31, pp. 303-310, 2012.

J. Behley, V. Steinhage, A.B. Cremers:
Performance of Histogram Descriptors for the Classification of 3D Laser Range Data in Urban Environments.
Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4391–4398, 2012.

F. Schöler, V. Steinhage:
Towards an Automated 3D-Reconstruction of Plant Architecture.
In: A. Schürr, D. Varró, and G. Varró: Proc. of 4th Intern. Symposium on Applications of Graph Transformations with Industrial Relevance (AGTIVE 2011), Budapest, Hungary, Oct. 4-7, 2011, Lecture Notes in Computer Science (LNCS) vol. 7233, Springer, Heidelberg, pp. 51-64, 2012.

F. Schöler, J. Behley, V. Steinhage, D. Schulz, A.B. Cremers:
Person Tracking in Three-Dimensional Laser Range Data with Explicit Occlusion Adaption.
Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 1297–1303, 2011.

J. Behley, K. Kersting, D. Schulz, V. Steinhage, A.B. Cremers:
Learning to Hash Logistic Regression for Fast 3D Scan Point Classification.
Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5960–5965, 2010.

V. Steinhage, J. Behley, S. Meisel, A. B. Cremers:
Automated Updating and Maintenance of 3D City Models.
ISPRS-Workshop on Core Spatial Databases - Updating, Maintenance and Services, 2010.

J. Behley, V. Steinhage:
Generation of 3D City Models Using Domain-Specific Information Fusion.
Proc. of the International Conference on Computer Vision Systems (ICVS), pp. 164–173, 2009.

T. M. Francoy, D. Wittmann, V. Steinhage, M. Drauschke, S. Müller, D. R. Cunha, A. M. Nascimento, V. L. C. Figueiredo, Z. L. P. Simoes, D. De Jong, M. C. Arias, L. S. Goncalves:
Morphometric and genetic changes in a population of Apis mellifera after 34 years of Africanization.
Journal Genetics and Molecular Research, Vol. 8, No. 2, 709-717, 2009.

V. Steinhage, J. Behley:
Model-Driven Generation of 3D City Models using Information Fusion on Aerial Imagery, Laser Altimeter and Map Data.
GFaI-Workshop 3D-NordOst, 2008.

T. M. Francoy, D. Wittmann, M. Drauschke, S. Müller, V. Steinhage, M. A. F. Bezerra-Laure, D. De Jong, L. S. Goncalves:
Identification of Africanized honey bees through wing morphometrics: two fast and efficient procedures.
Apidologie, Vol. 39, 488-494, 2008.

V. Steinhage, S. Schröder, K.-H. Lampe, A.B. Cremers:
Automated Extraction and Analysis of Morphological Features for Species Identification.
In: The Systematics Association Special Volume Series, vol. 74. chapter 8, pp. 115-129, CRC Press, Taylor & Francis Group, 2007.

M. Drauschke, V. Steinhage, A. Pogoda de la Vega, S. Müller, T. M. Francoy, D. Wittmann:
Reliable Biometrical Analysis in Biodiversity Information Systems.
Proc. 7th Int. Workshop on Pattern Recognition in Information Systems, PRIS 2007, Funchal, Madeira, Portugal, June 2007, pp. 25-36, 2007.

V. Steinhage, S. Schröder, V. Roth, A. B. Cremers, W. Drescher, D. Wittmann:
The Science of "Fingerprinting" Bees.
Magazine of the Deutsche Forschungsgesellschaft german research, Vol. 1/2006, pp. 19-21, 2006.

A. König, V. Steinhage:
AI Methods for Dealing with Vagueness and Uncertainty in Biodiversity Research.
29th Annual German Conference on Artificial Intelligence, Bremen, 14 - 19 June 2006.

D. Seim, S. Müller, M. Drauschke, V. Steinhage, S. Schröder:
Management and Visualization of Biodiversity Knowledge.
K. Tochtermann, A. Scharl (Eds.), Proc. 20th International Conference on Informatics for Environmental Protection, EnviroInfo 2006 Shaker Verlag, Graz, Austria, pp. 429 - 432, 2006.

V. Steinhage, S. Schröder, V. Roth, A. B. Cremers, W. Drescher, D. Wittmann:
Erkennungsdienst für Bienenarten.
Magazin der Deutschen Forschungsgesellschaft forschung, Band 3-4/2005, pp. 21-23, 2005.

A. B. Cremers, R. Manthey, P. Martini, V. Steinhage (Hrsg.):
INFORMATIK 2005 - Informatik Live! Beiträge der 35. Jahrestagung der Gesellschaft für Informatik.
Bonn, 19.–22. Sept. 2005, Band 2. Lecture Notes in Informatics, LNI P-68, 2005.

V. Steinhage, S. Meyfarth, T. Arbuckle, S. Schröder, A. B. Cremers, D. Wittmann:
Environmental Communication in Biodiversity Information Systems.
EnviroInfo 2002, Conf. on Environmental Informatics, UI 2002 Berger Publ., Vol. 1, Vienna, Austria Sept. 25 - 27, 2002, pp. 332-335, 2002.

S. Schröder, D. Wittmann, W. Drescher, V. Roth, V. Steinhage, A. B. Cremers:
The New Key to Bees: Automated Identification by Image Analysis of Wings.
In: P. G. Kevan, V. L. Imperatriz-Fonseca: Pollinating Bees, The Conservation Link Between Agriculture and Nature, Proc. Workshop on Conservation and Sustainable Use of Pollinators in Agriculture, with Emphasis on Bees, S. Paulo, held in Oct. 1998, Ministry of Environment, Secr. for Biodiversity and Forests, Brazil, 2002.

V. Steinhage:
Zur automatischen Gebäuderekonstruktion aus Luftbildern.
überarbeitete Edition, Reihe Berichte aus der Informatik, Shaker Verlag, Aachen, 2002.

V. Steinhage:
CAAD in Lehre und Forschung - Gestalten mit CAAD und Gestalten von CAAD.
Bauinformatik Journal, Band 5, 2001, pp. 25-30, Werner Verlag, Aachen, 2001.

T. Arbuckle, S. Schröder, V. Steinhage, D. Wittmann:
Biodiversity Informatics in Action: Identification and Monitoring of Bee Species using ABIS.
In: Conf. on Sustainability in the Information Society, Conf. on Environmental Informatics, UI 2001, Oct. 10 - 12, 2001, Metropolis Publ., Vol. 1, ETH Zürich, Switzerland, pp. 425-430, 2001.

V. Steinhage:
Automated Identification of Bee Species in Biodiversity Information Systems.
In: Conf. on Computer Science for Environmental Protection, UI 2000 , Bonn, Oct. 4 - 6, 2000, UI 2000, Metropolis Publ., Vol. I, pp. 339-344, 2000.

V. Steinhage:
CAD-Basierte Modellierungstechniken zur Generierung von 3D-Stadtmodellen aus Luftbildern.
In: Conf. on Computer Science for Environmental Protection, UI 2000 , Bonn, Oct. 4 - 6, 2000, UI 2000 , Metropolis Publ., Vol. I, pp. 367-377, Bonn, Oct. 4 - 6, 2000.

V. Roth, A.Pogoda, V. Steinhage, S. Schröder:
Automatisierte Artenbestimmung von Insekten durch Bildanalyse.
In: Künstliche Intelligenz, Number 1/2000, arenDTaP Verlag, Bremen, pp. 48-49, 2000.

V. Roth, V. Steinhage:
Nonlinear Discriminant Analysis Using Kernel Functions.
In: S. A. Solla, T. K. Leen, K.-R. Mueller (Eds.): Advances on Neural Information Processing Systems, NIPS 1999, Denver (Colorado), Nov. 30 - Dec. 2, 1999, pp. 568-574, 1999.

V. Roth, V. Steinhage:
Nonlinear Discriminant Analysis Using Kernel Functions.
Technical Report, Department of Computer Science III, University of Bonn, IAI-TR-99-7, ISSN 0944-8535, Bonn, June 1999.

V. Roth, A. Pogoda, V. Steinhage, S. Schröder:
Integrating Feature-Based and Pixel-Based Classification for the Automated Identification of Solitary Bees.
21. Jahrestagung der Deutschen Gesellschaft für Mustererkennung, DAGM '99 , Informatik aktuell, 120-129, Bonn, Sept. 15 - 17, 1999.

V. Roth, V. Steinhage, S. Schröder, A. B. Cremers, D. Wittmann:
Pattern Recognition Combining De-Noising and Linear Discriminant Analysis within a Real World Application.
8th Intern. Conf. on Computer Analysis of Images and Patterns, CAIP '99 in Ljubljana , Lecture Notes in Computer Science, Vol. 1689, Bonn, Sept. 1 - 3, 1999, pp. 251-266, 1999.

V. Steinhage:
Zur automatischen Gebäuderekonstruktion aus Luftbildern.
Habilitation Thesis at the Faculty of Mathematics and Natural Science of the University of Bonn, Bonn, 1998.

V. Roth, S. Schröder, A. B. Cremers, W. Drescher, V. Steinhage, D. Wittmann:
Computergestützte Klassifikation von Wildbienen mit Methoden der Bildverarbeitung.
Workshop Intelligente wissensbasierte Systeme in der Umweltinformatik der Umweltinformatik `98 , UI-98, Report of the Forschungszentrum Karlsruhe (Eds.: B. Keller, A. Fick): Wissenschaftliche Berichte FZKA 6252, ISSN 0947-8620, Karlsruhe, 1998.

A. Fischer, T.H. Kolbe, F. Lang, A.B. Cremers, W. Förstner, L. Plümer, V. Steinhage:
Extracting Buildings from Aerial Images using Hierarchical Aggregation in 2D and 3D.
Computer Vision and Image Understanding, Vol. 72, No. 2, pp. 185-203, 1998.

V. Steinhage, B. Kastenholz, S. Schröder, W. Drescher:
A Hierarchical Approach to Classify Solitary Bees Based on Image Analysis.
Mustererkennung 1997, 19. DAGM-Symposium, Informatik aktuell, Springer, Braunschweig Sept. 15 - 17, 1997, 419-426, 1997.

A. Fischer, V. Steinhage:
On the Computation of Visual Events in Aspect Graph Generation.
Mustererkennung 1997, 19. DAGM-Symposium, Informatik aktuell, Springer, 156-163, Braunschweig Sept. 15 - 17, 1997, pp. 156-163, 1997.

A. Fischer, V. Steinhage:
Ein modellbasiertes Konzept zur städteplanerischen Kartierung durch digitale Bildanalyse.
Int. Kolloquium über Anwendungen der Informatik und der Mathematik in Architektur und Bauwesen IKM'97, Weimar Febr. 28 - March 1, 1997.

V. Steinhage:
Wissensbasierte Mustererkennung zur Erfassung von Bauplänen.
Int. Kolloquium über Anwendungen der Informatik und der Mathematik in Architektur und Bauwesen IKM'97, Weimar Febr. 28 - March 1, 1997.

A. Pogoda, V. Steinhage:
Building Detection in Edge-Representation of Aerial Photographies by Means of Heuristic Histogram Analysis.
5th Winter School on Computer Graphics, Int. Conf. in Central Europe on Computer Graphics and Visualization 97, Plzen Febr. 10 - 14, 1997, pp. 424-433, 1997.

A. Fischer, V. Steinhage:
Solid Modeling for Building Extraction from Aerial Images.
5th Winter School on Computer Graphics, Int. Conf. in Central Europe on Computer Graphics and Visualization 97, Plzen Febr. 10 - 14, 1997, pp. 114-123, 1997

V. Steinhage:
On the Integration of Object Modeling and Image Modeling in Automated Building Extraction from Aerial Images.
In: A. Grün, E. P. Baltsavias, O. Henricsson (Hrsg.): Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), Birkhäuser, pp. 139-148, 1997.

A. Kort, A. Pogoda, V. Steinhage:
Employing Aspect Hierarchies for Building Detection in Digital Images.
Mustererkennung 1996, 18. DAGM-Symposium , Springer, Heidelberg Sept. 11 - 13, 1996, pp. 217-224, 1996.

V. Steinhage:
Objekt- und Bildmodelle zur Gebäudeextraktion aus Luftbildern.
Bildverarbeitung und Mustererkennung, Kolloquium der Universität Bonn, July 1996, Inst. für Informatik III, Techn. Report IAI-TR-96-5, pp. 9-12, 1996.

R. Niehörster, V. Steinhage:
Automation of Measurement, Evaluation, and Redesign in Structural Engineering within an Integral Architectural Approach.
6th Intern. Conf. on Computing in Civil and Building Engineering, 905-910, Berlin July 12 - 15, 1995.

V. Steinhage:
Generische CSG-Modellierung und Aspekthierarchien zur Gebäudeerkennung in digitalen Luftbildern.
15. Jahrestagung der Deutschen Gesellschaft für Photogrammetrie und Fernerkundung, Band 4 der Publikationen der DGPF, Hannover Oct. 4 - 6, 1995, pp. 301-308, 1995.

S. Schröder, W. Drescher, V. Steinhage, B. Kastenholz:
An Automated Method for the Identification of Bee Species (Hymenoptera: Apoidea).
Proc. Intern. Symp. on Conserving Europe's Bees, Int. Bee Research Ass. & Linnean Society London, UK, 6-7, 1995.

C. Braun, A. B. Cremers, W. Förstner, T.H. Kolbe, F. Lang, L. Plümer, W. Schickler, V. Steinhage:
Models for Photogrammetric Building Reconstruction.
Computer & Graphics, Vol. 19, No. 1, pp. 109-118, 1995.

V. Steinhage:
Zur 3D-Gebäuderekonstruktion aus digitalen Bildfolgen.
Int. Kolloquium über Anwendungen der Informatik und der Mathematik in Architektur und Bauwesen IKM'94 , Weimar 16. - 18. März 1994, pp. 138 - 141, 1994.

W. Drescher, S. Schröder, V. Steinhage:
Applications of Automated Image Processing and Computer-Based Information Processing for Biometrical Taxonomy of Solitary Bees (Hymenoptera, Apoidea).
Apidologie 5, pp. 473-474, 1994.

V. Steinhage:
Occlusions and Special Views within the Reconstruction of Polyhedral Scenes.
5th Intern. Conf. on Computer Analysis of Images and Patterns, CAIP '93, Lecture Notes in Computer Science 719, Budapest Sept. 13 - 15, 1993, pp. 502-509, 1993.

V. Steinhage:
Verdeckungen und spezielle Sichten bei der Rekonstruktion von Polyederszenen.
Dissertationsschrift an der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Bonn. Erschienen in der DISKI-Reihe, Band Nr. 45, Infix-Verlag, St. Augustin 1993.

V. Steinhage:
Verification of the General Position Assumption in the Practice of Stereovision.
11th IEEE Intern. Conf. on Pattern Recognition, ICPR 11, Den Haag Aug. 30 - Sept. 1, 1992, pp. 746-749, 1992.

V. Steinhage:
The General Position Assumption in the Practice of Stereovision.
7th Intern. Symp. on Microcomputer and Microprocessor Applications, muP '92, Budapest April 22 - 24, 1992, pp. 377 - 486, 1992.

V. Steinhage:
POLYOC: Photogrammetric Measurements of Buildings and Architectural Models via Multi-View Stereovision.
2nd Intern. Conf. on Experiences with CAAD in Europe, ECAADE '91, Munich October 17 - 19, 1991, pp. 1 - 11, 1991.

V. Steinhage, I. Daniels, A. Schick:
A Multi-View Stereovision Approach for Polyhedron Reconstruction.
Computer Analysis of Images and Patterns, 4th Intern. Conf., CAIP '91, Research in Informatics, Dresden Sept. 17-19, 1991, pp. 33 - 41, 1991.

V. Steinhage:
Objektrekonstruktion durch trinokulare Stereoanalyse.
KI-Bericht 12, Institut für Informatik der Universität Bonn 1989.

V. Steinhage, A. Bögelsack:
Die Verkettungsverfahren und das Erweiterungsproblem.
Informatikbericht, Nr. 60, Institut für Informatik I der Universität Bonn 1987.