Bauhaus-Universität Weimar: Publications

Books and book chapters

V. Rodehorst: Photogrammetric Computer Vision for spatio-temporal 3D reconstruction, habilitation thesis, Technische Universität Berlin, May 2013, 187 p.

J. Kersten: Ein Rahmenwerk zur interaktiven Klassifikation hochauflösender optischer Satellitenbilder mittels graphenbasierter Bildmodellierung, Dissertation, Technische Universität Berlin, 20. Sept. 2011, 148 p. [doi]

O. Hellwich, I. Niini, C. Ressl, V. Rodehorst, D. Scharstein and P. Sturm (Eds.): Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images (BenCOS 05) in conjunction with IEEE Int. Conf. on Computer Vision (ICCV 05), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 36, part 3/W36, ISSN 1682-1777, Beijing, China, Oct. 2005, 73 p. [web]

V. Rodehorst: Photogrammetrische 3D-Rekonstruktion im Nahbereich durch Auto-Kalibrierung mit projektiver Geometrie, dissertation thesis, Wissenschaftlicher Verlag Berlin, ISBN 3936846839, 2. June 2004, 167 p.

A. Koschan and V. Rodehorst: Dense Depth Maps by Active Color Illumination and Image Pyramids, In: F. Solina, W.G. Kropatsch, R. Klette, R. Bajcsy (Eds.), Advances in Computer Vision, Springer, ISBN 3211830227, 1. Nov. 1997, pp. 137-148. [doi]

V. Rodehorst: Digitale Bildanalyse in der Architekturphotogrammetrie, In: J. Albertz and A. Wiedemann (Eds.), Meydenbauer Kolloquium: Architekturphotogrammetrie gestern-heute-morgen, Technische Universität Berlin, ISBN 3798317003, 15. Nov. 1996, pp. 95-113.

Journals

C. Benz, P. Debus, T. Gebhardt, E. Friedli, S. Schuhbäck, T. Zimmer, G. Morgenthal and V. Rodehorst: AI-assisted inspection of concrete surfaces at dams, Allgemeine Vermessungs-Nachrichten (avn), 130(2023)6, 2023, pp. 215-225. [web]

A. Benz, C. Voelker, S. Daubert and V. Rodehorst: Towards an automated image-based estimation of building age as input for Building Energy Modeling (BEM), Energy and Buildings, Vol. 292, 2023. [doi]

A. Benz, J. Taraben, P. Debus, B. Habte, L. Oppermann, N. Hallermann, C. Voelker, V. Rodehorst and G. Morgenthal: Framework for a UAS-based assessment of energy performance of buildings, Energy and Buildings, Vol. 250, 2021. [doi]

L. Becher, C. Voelker, V. Rodehorst and M. Kuhne: Background-oriented schlieren technique for two-dimensional visualization of convective indoor air flows, Optics and Lasers in Engineering, Vol. 134, 2020. [doi]

G. Morgenthal, N. Hallermann, J. Kersten, J. Taraben, P. Debus, M. Helmrich and V. Rodehorst: Framework for Automated UAS-based Structural Condition Assessment of Bridges, Automation in Construction 97, 2019, pp. 77–95. [doi]

N. Hallermann, M. Helmrich, G. Morgenthal, E. Schnitzler, V. Rodehorst and P. Debus: UAS‐basierte Diagnostik von Infrastrukturbauwerken, Bautechnik, vol. 95, no. 10, Wiley, 2018, pp. 720-726. [doi]

M. Kossatz and V. Rodehorst: Visualisierung und Bearbeitung der historischen Entwicklung von Ländern in Raum und Zeit mit HistoGlobe, gis.Science, vol. 1, Wichmann, 2017, pp. 10-18. [web]

S. Bock, T. Gebhardt, J. Hildebrand, W. Schwarz, A. Almamou and S. Herzog: Qualitätskontrolle von Ingenieurkonstruktionen durch terrestrisches Laserscanning, Allgemeine Vermessungs-Nachrichten (avn), 123(2016), 8-9, 2016, pp. 239-252. [web]

M. Gutermann, W. Schwarz and T. Gebhardt: Dynamische Verformungsmessungen an weitgespannten Brückentragwerken, Messtechnik im Bauwesen, Ernst & Sohn Special, March 2015, pp. 20-24. [web]

J. Kersten and C. Clemen: Automatisches Differenzieren zum Lösen nichtlinearer Gleichungssysteme in der Ausgleichungsrechnung, ZfV, February 2015. [doi]

S. Martinis, J. Kersten and A. Twele: A fully automated TerraSAR-X based flood service, ISPRS Journal of Photogrammetry and Remote Sensing, September 2014. [doi]

J. Kersten: Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems, Pattern Recognition, Elsevier, ISSN 0031-3203, vol. 47, issue 8, August 2014, pp. 2582-2595. [doi]

S . Bock, T. Gebhardt and M. Kuhne: Entwicklung von faseroptischen Messsystemen, Allgemeine Vermessungs-Nachrichten (avn), 121(2014)3, 2014, pp. 97-111. [web]

S. Martinis, A. Twele, C. Strobl, J. Kersten and E. Stein: A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains, Remote Sensing 5(11), 2013, pp. 5598-5619. [doi]

H. Römer, J. Kersten, R. Kiefl, S. Plattner, A. Mager and S. Voigt: Airborne near-real-time monitoring of assembly and parking areas in case of large-scale public events and natural disasters, International Journal of Geographical Information Science 28(4), 2013, pp. 682-699. [doi]

J. Kersten, M. Gähler and S. Voigt: A General Framework for Fast and Interactive Classification of Optical VHR Satellite Imagery Using Hierarchical and Planar Markov Random Fields, Photogrammetrie Fernerkundung und Geoinformation, volume 6, E. Schweizerbart'sche Verlagsbuchhandlung, ISSN 1432-8364, Stuttgart, 2010, pp. 439-449. (Hansa Luftbild Price 2011) [doi]

V. Rodehorst, M. Heinrichs and O. Hellwich: A Trifocal Sensor System for 3D Reconstruction of Architectural Models, Annals of GIS, volume 15, no. 2, Taylor & Francis, ISSN 1947-5691, 2009, pp. 85-96. [doi]

M. Heinrichs, O. Hellwich and V. Rodehorst: ARTIST: Architectural Model Refinement Using Terrestrial Image Sequences from a Trifocal Sensor, Photogrammetrie - Fernerkundung - Geoinformation, volume 6, E. Schweizerbart'sche Verlagsbuchhandlung, ISSN 1432-8364, 2007, pp. 405-414. [web]

R. Klette, D. Mehren and V. Rodehorst: An Application of Surface Reconstruction from Rotational Motion, Real Time Imaging, volume 1, no. 2, Academic Press, ISSN 1077-2014, June 1995, pp. 127-138. [doi]

Conferences and workshops

D. Tschirschwitz and V. Rodehorst: CISOL - Open and Extensible Table Structure Recognition Dataset, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 7594-7602, 2025. [web] [paper]

A. Frolov, F. Kleiner, C. Rößler and V. Rodehorst: Needles & Haystacks - Dataset and Benchmark for Domain-Agnostic Image-Based Rigid Slice-to-Volume Registration, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 7081-7091, 2025. [web] [paper] [supp]

D. Tschirschwitz and V. Rodehorst: Label Convergence - Defining an Upper Performance Bound in Object Detection through Contradictory Annotations, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 6848-6857, 2025. [web] [paper] [supp]

C. Benz and V. Rodehorst: CrackStructures and CrackEnsembles - The Power of Multi-View for 2.5D Crack Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 5990-5999, 2025. [web] [paper]

C. Benz and V. Rodehorst: MVCrackViT: Robust Multi-View Crack Detection for Point Cloud Segmentation using View Attention, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pp. 3443-3449, 2024. [doi] [paper]

C. Benz and V. Rodehorst: ENSTRECT - A Stage-based Approach to 2.5D Structural Damage Detection, European Conference on Computer Vision (ECCV) 2nd Workshop on Vision-based InduStrial InspectiON (VISION), Milan, Italy, 2024 (in print). [preprint]

M. Florek, D. Tschirschwitz, B. Barz and V. Rodehorst: Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval, In: Proc. DAGM GCPR 2024, Pattern Recognition, Lecture Notes in Computer Science, Springer, 2024. (in print) [preprint]

P. Debus and V. Rodehorst: UAS Flight Path Planning: A Comparative Analysis of Diverse Use Cases and Approaches, 3D GeoInfo Conference, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W5-2024, pp. 111–118, 2024. [doi] [paper]

C. Benz and V. Rodehorst: OmniCrack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June, pp. 3876-3886, 2024. [web] [paper] [poster]

J. Flotzinger, P. J. Rösch, C. Benz, M. Ahmad, M. Cankaya, H. Mayer, V. Rodehorst, N. Oswald and T. Braml: Dacl-Challenge: Semantic Segmentation During Visual Bridge Inspections, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pp. 716-725, 2024. [paper]

D. Tschirschwitz, C. Benz, M. Florek, H. Norderhus, B. Stein and V. Rodehorst: Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels, In: U. Köthe, C. Rother (Eds.) Pattern Recognition, DAGM GCPR 2023, Lecture Notes in Computer Science, Vol. 14264, Springer, pp. 605–623, 2024. [doi] [paper]

P. Debus und V. Rodehorst: Potential-guided UAV-Flight Path Planning for the Inspection of Complex Structures, ISPRS Geospatial Week 2023, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLVIII-1/W2-2023, Cairo, Egypt, pp. 291–298, 2023. [doi] [paper]

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Drawing the Line: A Dual Evaluation Approach for Shaping Ground Truth in Image Retrieval Using Rich Visual Embeddings of Historical Images, 7th International ICDAR Workshop on Historical Document Imaging and Processing (HIP), Association for Computing Machinery, San José, USA, pp. 13–18, 2023. [doi] [DHMTIC] [DHREAAL] [paper]

D. Tschirschwitz, F. Klemstein, B. Stein and V. Rodehorst: A Dataset for Analysing Complex Document Layouts in the Digital Humanities and Its Evaluation with Krippendorff’s Alpha, In: B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, I. Ihrke (Eds.) Pattern Recognition, DAGM GCPR 2022, Lecture Notes in Computer Science, vol. 13485, Springer, pp. 354-374, 2022. [doi] [TexBiG] [paper]

C. Benz and V. Rodehorst: Image-Based Detection of Structural Defects Using Hierarchical Multi-scale Attention, In: B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, I. Ihrke (Eds.) Pattern Recognition, DAGM GCPR 2022, Lecture Notes in Computer Science, vol. 13485, Springer, pp. 337-353, 2022. [doi] [S2DS]

S. Daubert, M. Geske, V. Rodehorst and C. Voelker: Correction of Sensor Noise of Images from Uncooled Thermographic Cameras in Energetic Building and Neighborhood Analysis, In: Proceedings of BauSIM, Weimar, Germany, 20.-22.September 2022. [doi]

C. Benz and V. Rodehorst: Image-based Control Point Detection and Correspondence-free Georeferencing, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), V-2-2022, Nice, France, pp. 399–406, 2022. [doi]

M. Kaisheva and V. Rodehorst: A Comparative Survey of Geometric Light Source Calibration Methods, In: C. Bauckhage, J. Gall, A. Schwing (Eds.) Pattern Recognition, DAGM GCPR 2021, Lecture Notes in Computer Science, vol. 13024, Springer, pp. 663–680, 2021. [doi] [video]

P. Debus and A. Satpute: Bauhaus Path Planning Challenge - Evaluation and Comparison of UAS-Flight Path Planning Algorithms for the Inspection of Infrastructures, 32. Forum Bauinformatik, Darmstadt, pp. 308-315, 9.-10. September, 2021. [doi]

C. Benz and V. Rodehorst: Model-based crack width estimation using rectangle transform, International Conference on Machine Vision Applications (MVA), Nagoya, Japan, pp. 1-5, 2021. [doi] [paper]

A. Frolov, G. Rendle, A. Kreskowski, M. Kaisheva, B. Fröhlich and V. Rodehorst: Towards free-viewpoint video capture in challenging environments for collaborative & immersive analysis, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLIII-B2-2021, Nice, France, pp. 419–426, 2021. [doi]

P. Debus and V. Rodehorst: Evaluation of 3D UAS flight path planning algorithms, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLIII-B1-2021, Nice, France, pp. 157–164, 2021. [doi] [BPPC]

P. Debus and V. Rodehorst: Multi-scale Flight Path Planning for UAS Building Inspection, In: E.T. Santos, S. Scheer (Eds.), Proceedings of the 18th International Conference on Computing in Civil and Building Engineering (ICCCBE 2020), Lecture Notes in Civil Engineering, Vol. 98, Springer, pp. 1069-1085, 2020. [doi]

C. Benz, P. Debus, H.K. Ha and V. Rodehorst: Crack Segmentation on UAS-based Imagery using Transfer Learning, Image and Vision Computing New Zealand (IVCNZ), Dunedin, New Zealand, pp. 1–6, 2019. [doi]

P. Debus and C. Benz: Verbesserung der Risserkennung in UAS Bildern durch Fusion mehrerer Aufnahmen, Forum Bauinformatik, Berlin, pp. 257-264, 2019. [doi]

P. Debus, C. Benz and V. Rodehorst: Multiple view anomaly detection in images from UAS structure inspection using CNNs, IABSE Conference, The Evolving Metropolis, New York, pp. 1984–1991, 2019. [doi]

C. Thiel, J. Kersten, S. Hese, S. Truckenbrodt, M. Kunz, P. Debus, V. Rodehorst, N. Hallermann, R. Eckardt, A. Gräf, F. Klan: Towards specifying and optimizing 3D point cloud quality based on UAV-borne image data acquired by citizen scientists, Remote sensing working group at the German Congress for Geography, Kiel, 2019.

C. Thiel, J. Kersten, S. Hese, S. Truckenbrodt, M. Kunz, P. Debus, V. Rodehorst, N. Hallermann, R. Eckardt, A. Gräf: Comparison of 3D point cloud quality based on image data acquired with various UAV- and camera systems from low cost to professional, Living Planet Symposium (LPS) of the European Space Agency (ESA), Milano, Italy, 2019.

J. Taraben, P. Brust, P. Debus, G. Morgenthal and E. Tauscher: Approach for the IFC based Integration of Life Cycle Data and Processes in Building Information Models. 17th International Conference on Computing in Civil and Building Engineering (ICCCBE), Tampere, 2018.

J. Taraben, N. Hallermann, J. Kersten, G. Morgenthal and V. Rodehorst: Case study for the integration of geometrical analyses for structural condition assessment in building information models, Materials Science and Engineering, Vol. 365, No. 2, p. 022054, IOP Publishing, Moskau, 2018.

J. Kersten, V. Rodehorst, N. Hallermann, P. Debus, G. Morgenthal: Potentials of autonomous UAS and automated image analysis for structural health monitoring, IABSE Conference, Tomorrow’s Megastructures, Nantes, 2018.

N. Hallermann, G. Morgenthal, J. Kersten and V. Rodehorst: Von der Bauwerksbefliegung mit UAS zu hochauflösenden Geometriemodellen. Messen im Bauwesen 2017 – Messverfahren und deren bautechnische Anwendung, Berlin, 2017.

J. Kersten and V. Rodehorst: Enhancement Strategies for Frame-to-Frame UAS Stereo Visual Odometry, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B3, XXIII ISPRS Congress, Prague, Czech Republic, pp. 511–518, 12–19. July 2016.

T. Gebhardt, J. Hildebrand, W. Schwarz, S. Bock, S. Herzog and A. Almamou: Qualitätssicherung von Brückenbauwerken während der Fertigung und Montage sowie im Betrieb mit terrestrischem Laserscanning, 2. Brückenkolloquium Beurteilung, Ertüchtigung und Instandsetzung von Brücken, Ostfildern/Stuttgart, pp. 311–320, 21–22. June 2016.

N. Hallermann, G. Morgenthal and V. Rodehorst: Vision-based monitoring of heritage monuments – Unmanned Aerial Systems (UAS) for detailed inspection and high-accurate survey of structures, STREMAH 2015, 14. International Conference on Studies, Repairs and Maintenance of Heritage Architecture, LaCoruna, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Unmanned Aerial Systems (UAS) – Case studies of vision based monitoring of aging structures, NDT-CE 2015, International Symposium Non-Destructive Testing in Civil Engineering, Berlin, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Unmanned Aerial Systems (UAS) – Survey and monitoring based on high-quality airborne photos, IABSE Conference, Structural Engineering Providing Solutions to Global Challenges, Geneva, 2015.

V. Rodehorst: Evaluation of the metric trifocal tensor for relative three-view orientation, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

J. Kersten and V. Rodehorst: Towards Stereo Vision- and Laser Scanner-Based UAS Pose Estimation, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

A. Almamou, T. Gebhardt, S. Bock, J. Hildebrand and W. Schwarz: Quality control of constructed models using 3D point clouds, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Vision-based deformation monitoring of large scale structures using Unmanned Aerial Systems, 37th IABSE Symposium, Engineering for Progress, Nature and People, Madrid, Spain, 2014, pp. 1–8.

S. Bock, T. Gebhardt, M. Kuhne and W. Schwarz: Ein faseroptischer Sensor zur zweiachsigen Neigungsmessung, In: Wissenschaftliche Berichte, Wissenschaftliche Zeitschrift der Hochschule Mittweida, Vol. 4, 2014, pp. 23–26.

S. Bock, T. Gebhardt, M. Kuhne and W. Schwarz: Konzeption eines zweiachsigen Neigungssensors basierend auf optisch-mechanischen Prinzipien, In: J. Stahlmann (Eds.), Messen in der Geotechnik 2014, Mitteilung des Instituts für Grundbau und Bodenmechanik, Technische Universität Braunschweig, Vol. 98, 2014, pp. 331–344.

M. Gutermann, W. Schwarz and T. Gebhardt:
Erfahrungsbericht - Verformungsmessungen an Bauwerken mit großer Stützweite. In: M. Curbach, H. Opitz, S. Scheerer, T. Hampel (Hrsg.), 7. Symposium Experimentelle Untersuchungen von Baukonstruktionen. Schriftenreihe Konstruktiver Ingenieurbau Dresden, Vol. 32, 2013, pp. 51–64.

T. Gebhardt: Laserinterferometrie - Messprinzip und Anwendungen. In: F. Neitzel (Hrsg.), Tech13 - Trends im Vermessungswesen: Aktuelle Trends und Herausforderungen in der Ingenieurgeodäsie, Berlin, 2013, pp. 167–193.

A. Friedrich, T. Gebhardt and B. Resnik: Genauigkeitsuntersuchung eines mehrachsigen Beschleunigungssensors mittels Laserinterferometer, In: S. Weisbrich and R. Kaden (Eds.), Entwicklerforum Geodäsie und Geoinformationstechnik 2011 - junge Wissenschaftler forschen, Shaker, Aachen, 2012, pp. 25–34.

J. Kersten and M. Gähler: A Framework for Satellite Image Classification in the Context of Crisis Mapping Using Markov Random Fields, Proceedings of RSPSoc 2010 Annual Conference, Cork, Ireland, 1.–3. Sep. 2010.

M. Heinrichs, O. Hellwich and V. Rodehorst: Robust Spatio-Temporal Feature Tracking, Proc. of the XXI Congress of the Int. Society for Photogrammetry and Remote Sensing (ISPRS), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 37, part B3a, ISSN 1682-1750, Beijing, China, 3.–11. July 2008, pp. 51–56.

J. Kersten: Implementierung einer Bluetooth-Schnittstelle am Beispiel eines Laserdistanzmessgeräts, Entwicklerforum Geoinformationstechnik, Ed.: Christian Clemen, Shaker-Verlag, Aachen, 26.–27. July 2007, pp. 49–59.

V. Rodehorst, M. Heinrichs and O. Hellwich: Evaluation of Relative Pose Estimation Methods for Multi-Camera Setups, Proc. of the XXI Congress of the Int. Society for Photogrammetry and Remote Sensing (ISPRS), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 37, part B3b, ISSN 1682-1750, Beijing, China, 3.–11. July 2008, pp. 135–140.

M. Heinrichs, O. Hellwich and V. Rodehorst: Efficient Semi-Global Matching for Trinocular Stereo, Proc. of Photogrammetric Image Analysis (PIA 07), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 36, part 3/W49A, ISSN 1682-1750, Munich, 19.–21. Sep. 2007, pp. 185–190.

H. Zheng, V. Rodehorst, M. Heinrichs and O. Hellwich: Improvement of the Fidelity of 3D Architecture Modeling Combining 3D Vector Data and Uncalibrated Image Sequences, Proc. of the ISPRS Workshop on Updating Geo-spatial Databases with Imagery and on Dynamic and Multi-dimensional GIS (DMGIS 07), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 36, part 4/W54, ISSN 1682-1750, Urumqi, China, 28.–29. Aug. 2007, pp. 127–134.

A. Bellmann, O. Hellwich, V. Rodehorst and U. Yilmaz: A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms, Proc. of the ISPRS Workshop Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images (BenCOS 07) in conjunction with IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 07), IEEE Computer Society, ISBN 1424411807, Minneapolis, USA, 23. June 2007, 8 p. (nominated for best-paper-award)

M. Heinrichs and V. Rodehorst: Trinocular Rectification For Various Camera Setups, Proc. of the ISPRS Commission III Symposium - Photogrammetric Computer Vision (PCV 06), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 36, part 3, ISSN 1682–1750, Bonn, 20.–22. Sep. 2006, pp. 43–48. (nominated for best-poster-award)

V. Rodehorst and O. Hellwich: Genetic Algorithm SAmple Consensus (GASAC) - A Parallel Strategy for Robust Parameter Estimation, Proc. of the Int. Workshop "25 Years of RANSAC" in conjunction with IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 06), IEEE Computer Society, ISBN 0769525970, New York, USA, 18. June 2006, 8 p.

V. Rodehorst and A. Koschan: Comparison and Evaluation of Feature Point Detectors, In: L. Gründig and M.O. Altan (Eds.), Proc. of the 5th Int. Symposium - Turkish-German Joint Geodetic Days (TGJGD 06), ISBN 3980903044, Berlin, 29.–31. March 2006, 8 p.

Y. Kuzu and V. Rodehorst: Volumetric Modeling Using Shape from Silhouette, In: M.O. Altan and L. Gründig (Eds.), Proc. of the 4th Int. Symposium - Turkish-German Joint Geodetic Days (TGJGD 01), volume I, Berlin, 2.–6. April 2001, pp. 469–476.

A. Wiedemann and V. Rodehorst: Towards Automation in Architectural Photogrammetry Using Digital Image Processing, Proc. of the CIPA Int. Symposium - Photogrammetry in Architecture, Archaeology and Urban Conservation (CIPA 97), Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Science (IAPRS), volume 32, part 5C1B, ISSN 1682-1750, Göteborg, Schweden, 1.–3. Oct. 1997, pp. 209–214.

V. Rodehorst: Architectural Image Segmentation Using Digital Watersheds, In: G. Sommer, K. Daniilidis und J. Pauli (Eds.), Proc. of the 7th Int. Conf. for Computer Analysis of Images and Patterns (CAIP 97), Lecture Notes in Computer Science LNCS 1296, Springer, ISBN 9783540634607, Kiel, 10.–12. Sep. 1997, pp. 408–415.

C. Li, V. Rodehorst and A. Wiedemann: Digital Image Processing Techniques for Architectural Photogrammetry,
In: M.O. Altan and L. Gründig (Eds.), Proc. of the 2nd Int. Symposium - Turkish-German Joint Geodetic Days (TGJGD 97), Berlin, 28.–30. May 1997, pp. 541–548.

A. Koschan, V. Rodehorst and K. Spiller: Color Stereo Vision Using Hierarchical Block Matching and Active Color Illumination, Proc. of the 13th Int. Conf. on Pattern Recognition (ICPR 96), ISBN 081867282X, Vienna, Austria, volume 1, 25.–29. Aug. 1996, pp. 835–839.

A. Koschan and V. Rodehorst: Towards Real-Time Stereo Employing Parallel Algorithms for Edge-Based and Dense Stereo Matching, Proc. of the IEEE Workshop on Computer Architectures for Machine Perception (CAMP 95), ISBN 0818671343, Como, Italy, 18.–20. Sep. 1995, pp. 234–241.

R. Klette, A. Koschan, K. Schlüns and V. Rodehorst: Evaluation of surface reconstruction methods, Proc. of the New Zealand Image and Vision Computing Workshop (IVCNZ 95), Lincoln, New Zealand, 28.–29. Aug. 1995, pp. 3–12.

R. Klette and V. Rodehorst: Algorithms for Shape from Shading, Lighting Direction and Motion, In: D. Chetverikov and W.G. Kropatsch (Eds.), Proc. of the 5th Int. Conf. on Computer Analysis of Images and Patterns (CAIP 93), Lecture Notes in Computer Science LNCS 719, Springer, ISBN 3540572333, Budapest, Hungary, 13.–15. Sep. 1993, pp. 420–427.

Technical reports

V. Rodehorst, P. Debus, G. Morgenthal, S. Rau, P. Schallauer: ev.AI.luate - Evaluation of AI methods for damage detection on engineering structures in the context of image quality, D-A-CH Cooperation Transport Infrastructure Research (DACH 2021), Austrian Research Promotion Agency (FFG), 109 p., 2023. [web]

G. Morgenthal, C. Völker, V. Rodehorst, M. Geske, J. Taraben and S. Daubert: smoodPLAN - Entwicklung eines modularen Produkt- und Dienstleistungsangebotes für Bestandserfassung, Konzeption, Evaluation und Informationsmanagement für ganzheitliche Quartierssanierungsplanung, Wachstumskern smood, Verbundprojekt 1, Teilprojekt 1.2: Smood PLAN Quartiersbezogene Datenaufnahme und -prozessierung - ScanSim, Technical Information Library (TIB), 24 p., 2022. [web]

G. Morgenthal, V. Rodehorst, N. Hallermann, P. Debus and C. Benz: Inspections of structures in accordance with DIN 1076 – support by (semi-)automated image analysis with UAV (unmanned aerial vehicles), report on research project 89.0334, German Federal Highway Research Institute (BASt), Fachverlag NW, 91 p., 2021. [web]

Bauhaus-Universität Weimar (Chairs MKS, CV and VR), GMTIB and pons asini: Verbundprojekt DenkmalDigital im WIR! Bündnis Vogtlandpioniere - Grundlagen der Digitalisierung in Denkmalpflege und Sanierung, Technical Information Library (TIB), 56 p., 2021. [doi]

N. Hallermann, P. Debus, J. Taraben, A. Benz, G. Morgenthal, V. Rodehorst, C. Völker, T. Abbas, T. Gebhardt and S. Daubert: Unbemannte Fluggeräte zur Zustandsermittlung von Bauwerken – Fortsetzungsantrag (F3157), Forschungsinitiative Zukunft BAU, Fraunhofer IRB Verlag, 61 p., 2019. [web]

J. Kersten, N. Hadidian, K. Hwirang, A. Karagianni, Y. Kazmi, F. Manojlovski: Object-based analysis of satellite images for building change detection after an earthquake: The case study of L'Aquila, Forecast Engineering: From Past Design to Future Decision 2017, Bauhaus Universitätsverlag, pp. 20-31, 2019. [doi]

J. Kersten, M.C. Borrero, E. Budak, K.C. Erkmen and M. Ghalandari: Machine Learning for Segment-based Change Detection in Very High Resolution Optical Satellite Imagery, Forecast Engineering: From Past Design to Future Decision 2016, vol. 32, Bauhaus Universitätsverlag, pp. 132-144, 2018. [web]

A. Cerovecki, S. Gharahjeh, E. Harirchian, D. Ilin, K. Khotnikova and J. Kersten: Evaluation of Change Detecton Techniques using Very High Resolution Optical Satellite Imagery, Forecast Engineering: From Past Design to Future Decision 2015, vol. 32, Bauhaus Universitätsverlag, pp. 20-33, 2018. [web]

J. Kersten: Anwendung der Differentiations-Arithmetik für Aufgaben der Ausgleichungsrechnung, Diploma Thesis, Institute of Geodesy and Geoinformation Science, Technical University Berlin, 12. Feb. 2008, 102 p.

J. Albertz, V. Rodehorst, K. Gwinner, F. Hohmuth, T. Roatsch, F. Scholten and A. Wiedemann: FIGARO - Fernerkundung im Gigabit-Netz - Automatische Rekonstruktion von Oberflächen, final report, institute for geodesy and geoinformation science, Technische Universität Berlin, 31. October 2001, 55 p.

V. Rodehorst and H. Schlichting: Establishment of Natural Forest Resources Monitoring System, The People's Republic of China, report on computer consultancy, Food and Agriculture Organization of the United Nations (FAO), Rome, May 1997, 23 p.

R. Klette, A. Koschan, K. Schlüns und V. Rodehorst: Surface Reconstruction based on Visual Information, technical report 95/6, department of computer science, The University of Western Australia, July 1995, 50 p.

D. Mehren und V. Rodehorst: Gestaltsanalyse komplexer Objekte bei kontrollierter Bewegung, Diploma thesis (CV report 27), institute for technical computer science, Technische Universität Berlin, 28. March 1994, 109 p.

V. Rodehorst: Vertiefende Analyse eines Gestalts-Contraints von Aloimonos und Shulman, student research project (CV report 8), institute for technical computer science, Technische Universität Berlin, 15. April 1993, 50 p.

Data sets

NH-RS2V

A. Frolov, F. Kleiner, C. Rößler and V. Rodehorst: Needles & Haystacks: Dataset and Benchmark for Domain-Agnostic Image-Based Rigid Slice-to-Volume Registration, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, Version WACV2025, Zenodo, 2025. [doi]

CISOL

E. Gekeler, D. Tschirschwitz and V. Rodehorst: Construction Industry Steel Ordering Lists (CISOL) Dataset, Version 1.0, Zenodo, 2024. [doi]

DHMTIC

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Digital Humanities Multi-Task Image Classification Dataset (DHMTIC), Version 0.5, 7th International Workshop on Historical Document Imaging and Processing (HIP), San José, USA, 2023. [doi]

DHREAAL

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL), Version 0.5, 7th International Workshop on Historical Document Imaging and Processing (HIP), San José, USA, 2023. [doi]

S2DS

C. Benz and V. Rodehorst: Structural Defects Dataset (S2DS), DAGM German Conference on Pattern Recognition (GCPR), Konstanz, Germany, 2022. [web]

TexBiG

D. Tschirschwitz, F. Klemstein, B. Stein and V. Rodehorst: TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities, Version 2.0, DAGM German Conference on Pattern Recognition (GCPR), Konstanz, Germany, 2022. [doi]

BPPC

P. Debus and V. Rodehorst: Bauhaus Path Planning Challenge (BPPC), ISPRS Congress, Nice, France, 2021. [web]

Invited talks

G. Morgenthal and V. Rodehorst: Digital photography and monitoring in structural inspection, Digitalization in structural inspection, Bochum, February 20, 2025.

V. Rodehorst: Image-based condition assessment of historical objects, Annual Conference Blue Shield Germany, Weimar, October 26, 2024.

V. Rodehorst: Image-based condition assessment of structures and in monument protection, Geodetic colloquium, Weimar, April 24, 2024.

V. Rodehorst and G. Morgenthal: Image-based damage detection and modelling of structures, GeoMonitoring, Braunschweig, February 29, 2024.

C. Benz: Image-based Structural Inspection from the Perspective of Computer Vision, 1st Workshop on Vision-Based Structural Inspections in Civil Engineering at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, January 7, 2024.

G. Morgenthal and V. Rodehorst: Image-based Condition Assessment and Damage Modelling for Large Infrastructures, PhD-Workshop DFG-SPP 2388 "Hundert plus", Worms, November 8, 2023.

V. Rodehorst: Image-based 3D Modeling and Anomaly Detection using Unmanned Aircraft Systems (UAS), Bauhaus Summer School - Virtualization, Visualization and Validation of Urban and Structural Building Responses, Weimar, August 12, 2022.

V. Rodehorst: Digital Photogrammetry, Workshop on Environmental Risk Assessment and Mitigation on Cultural Heritage Assets in Central Asia (ERAMCA), Weimar, July 19, 2022.

G. Morgenthal and V. Rodehorst: Testing aging infrastructure structures with digital technologies, 7th School MIT Science Thuringia Conference, Weimar, July 1, 2022.

V. Rodehorst: Digitale Erfassung und Zustandsbewertung von Bauwerken, 65 years Faculty B, Bauhaus-Universität Weimar, July 10, 2019.

N. Hallermann, J. Kersten and T. Gebhardt: 3D-Vermessung der Figuren im Dom zu Halberstadt, DBU project Sculptures High Choir Halberstadt Cathedral, 10. Jan. 2018.

V. Rodehorst, G. Morgenthal and N. Hallermann: Automatisierte bildbasierte Erfassung geschädigter Betonbauteile, 4. WTA-Kolloquium Betoninstandhaltung, Erfurt, June 20, 2017.

N. Hallermann and V. Rodehorst: Luftbildgestützte automatisierte Zustandserfassung von Bauwerken, Nutzerorientierte Bausanierung (NuBau), Bauhaus-Universität Weimar, December 1, 2016.

V. Rodehorst and N. Hallermann: Automatisierte Schadenserkennung an Betontragwerken, Informationstag Ingenieurbau - Innovation, Normung, Praxis, Bauhaus-Universität Weimar, September 28, 2016.

V. Rodehorst and N. Hallermann: Vision-based Inspection of Structures using Unmanned Aircraft Systems (UAS), Bauhaus Summer School - Forecast Engineering: From past design to future decision, Weimar, August 26, 2016.

V. Rodehorst, G. Morgenthal and N. Hallermann: Luftbildgestützte automatische Schadenserkennung an Infrastrukturbauten, 3. WTA-Kolloquium Betoninstandhaltung, Rapperswil, Switzerland, June 14, 2016.

V. Rodehorst, N. Hallermann and G. Morgenthal: Verkehrsinfrastruktur-Monitoring mit unbemannten Flugsystemen (UAS), XVIII. Weimarer Straßenbau + Baustoffsymposium, Bauhaus-Universität Weimar, March 17, 2016.

V. Rodehorst: Computertomographische Volumenmesstechnik, Wissenschaftstag "In Bewegung", Bauhaus-Universität Weimar, November 18, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Luftbild-gestützte automatisierte Schadenserkennung an Betonoberflächen, 2. WTA-Kolloquium Betoninstandhaltung, Fulda, June 18, 2015.

V. Rodehorst and N. Hallermann: Erstellung von 3D-Bauwerksmodellen mit unbemannten Flugsystemen, VBI-Landesverband Thüringen, Bad Frankenhausen, June 13, 2015.

J. Trabert and V. Rodehorst: einBlick #35 – Ingenieurbüro Trabert + Partner, Bauhaus-Universität Weimar, December 11, 2014.

V. Rodehorst and N. Hallermann: Luftgestützte UAS-Photogrammetrie zur Bauwerksaufnahme, Informationstag Ingenieurbau - Innovation, Normung, Praxis, Bauhaus-Universität Weimar, October 1, 2014.

V. Rodehorst: Optical 3D Reconstruction for geometric validation, Bauhaus Summer School - Model Validation & Simulation, Weimar, August 7, 2013.