Publications


 

M. She, T.Weiss, Y.Song, P.Urban, J.Greinert, K.Köser:
Marine Bubble Flow Quantification Using Wide-Baseline Stereo Photogrammetry.
ISPRS Journal on Photogrammetry and Remote Sensing, Elsevier, 2022
DOI 10.1016/j.isprsjprs.2022.06.014 [Open Access Article]


 

V.Grossmann, D.Nakath, R.Koch, K.Köser:
Gemini Connector - Interfacing Differentiable Physical Models and Neural Networks.
Accepted for Informatik Spektrum, Springer, 2022


 

K.Köser, T.Kwasnitschka, M.Urlaub:
Fusion seismischer, akustischer und optischer Unterwasserdaten und Modelle zur Analyse submariner Hangrutschungen an Vulkansystemen .
Accepted for Informatik Spektrum, Springer, 2022


 

Y.Song, M.She, D.Nakath, K.Köser:
Optical Imaging and Image Restoration Techniques for Deep Ocean Mapping: A Comprehensive Survey.
Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Springer, 2022 DOI 10.1007/s41064-022-00206-y [Open Access Article]


 

V.Grossmann, D.Nakath, N.Oppelt, M.Urlaub, R.Koch, K.Köser:
Digital Twinning in the Ocean -- Challenges in Multimodal Sensing and Multiscale Fusion based on Faithful Visual Models.
accepted for ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022


 

P. Herrmann, S. Reissmann, M. Rothenbeck, F. Woelk, K.Köser:
Robust Human-Identifiable Markers for Absolute Relocalization of Underwater Robots in Marine Data Science Applications.
accepted for Computer Vision for Coastal and Marine Environment Monitoring, Lecture Notes in Computer Science 13233, Springer, 2022


 

P. Schöntag, D. Nakath, S.Röhrl, K.Köser:
Towards Cross Domain Transfer Learning for Underwater Correspondence Search.
accepted for Computer Vision for Coastal and Marine Environment Monitoring, Lecture Notes in Computer Science 13233, Springer, 2022


 

Y. Song, M. She, K.Köser:
Throwing benchmarks into the ocean for deep sea photogrammetry and image processing evaluation.
accepted for ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022


 

D.Nakath, M.She, Y.Song, K.Köser:
An Optical Digital Twin for Underwater Photogrammetry.
Journal of Photogrammetry, Remote Sensing and Geoinformation Science (90), pp. 69–81, Springer, 2022, doi 10.1007/s41064-021-00190-9
[Open Access Article]   [GEODT Supplementary Material and Toolkit]


 

M.She, D.Nakath, Y.Song, K.Köser:
Refractive Geometry for Underwater Domes.
ISPRS Journal of Photogrammetry and Remote Sensing, Volume 183, Pages 525-540, Elsevier, 2022. doi 10.1016/j.isprsjprs.2021.11.006
[Open Access Article]


 

X.Weng, M.She, D.Nakath, K.Köser:
MaCal: Macro Lens Calibration and the Focus Stack Camera Model.
International Conference on 3D Vision (3DV). IEEE, 2021
doi: 10.1109/3DV53792.2021.00024
[Presentation Video] [Preprint Version]


 

D.Nakath, M.She, Y. Song, K.Köser:
In-Situ Joint Light and Medium Estimation for Underwater Color Restoration.
In: Computer Vision in the Ocean WS, International Conference on Computer Vision. IEEE, 2021. doi: 10.1109/ICCVW54120.2021.00416
[Open Access Version of Article provided by the Computer Vision Foundation]


 

H. Liu, J. Büscher, K. Köser, J. Greinert, H. Song, Y. Chen, T. Schoening:
Automated Activity Estimation of the Cold-Water Coral Lophelia pertusa by Multispectral Imaging and Computational Pixel Classification. Journal of Atmospheric and Oceanic Technology 38, 2, 141-154, doi 10.1175/JTECH-D-19-0139.1


 

K.Köser: Affine Registration.
In: Ikeuchi K. (eds) Computer Vision. Springer, Cham, 2021.
doi 10.1007/978-3-030-03243-2_122-1


 

Y.Song, J.Sticklus, D.Nakath, E.Wenzlaff, R.Koch, K.Köser:
Optimization of Multi-LED Setups for Underwater Robotic Vision Systems.
In: Pattern Recognition. Lecture Notes in Computer Science 12662. Springer, Cham.
doi: 10.1007/978-3-030-68790-8_30

 

N. Shivasvamy, T.Kwasnitschka, K.Köser:
Learning Free Space Detection for Deep Diving Robots.
In: Pattern Recognition. Lecture Notes in Computer Science 12662. Springer, Cham.
doi 10.1007/978-3-030-68790-8_31

 

Y.Song, D.Nakath, M.She, F.Elibol, K.Köser:
Deep Sea Robotic Imaging Simulator.
In: Pattern Recognition. Lecture Notes in Computer Science 12662. Springer, Cham.
doi 10.1007/978-3-030-68790-8_29

 

T. Schoening, A. Purser, D.Langenkämper, I. Suck, J. Taylor, D. Cuvelier, L. Lins, E. Simon-Lledó, Y. Marcon, D. Jones, T. Nattkemper, K. Köser, M. Zurowietz, J. Greinert,  J. Gomes-Pereira: Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. Biogeosciences, 17, 3115–3133, 2020 doi 10.5194/bg-17-3115-2020

 

F. Gausepohl, A. Hennke, T. Schoening, K. Köser, and J. Greinert: Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin. Biogeosciences, 17, 1463–1493, 2020, doi 10.5194/bg-17-1463-2020

 K.Köser, U.Frese: Challenges in Underwater Vision and SLAM. In: AI Technology for Underwater Robots. Intelligent Systems, Control and Automation: Science and Engineering, vol 96. Springer, Cham. doi 10.1007/978-3-030-30683-0_11
 

She M., Song Y., Mohrmann J., Köser K.: Adjustment and Calibration of Dome Port Camera Systems for Underwater Vision. In: Fink G., Frintrop S., Jiang X. (eds) Pattern Recognition. DAGM GCPR 2019. Lecture Notes in Computer Science, vol 11824. Springer, Cham (preprint pdf)
doi 10.1007/978-3-030-33676-9_6

 

Simon-Lledó, E.,  Bett, B., Huvenne, V., Köser, K., Schoening, T., Greinert, J., Jones, D. (2019): Biological effects 26 years after simulated deep-sea mining, Scientific Reports 8040(9), Nature Publishing, doi: 10.1038/s41598-019-44492-w

 

Song, Y. , Köser, K., Kwasnitschka, T., Koch, R. Iterative Refinement for Underwater 3d Reconstruction: Application to Disposed Underwater Munitions in the Baltic Sea ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W10, 2019, pp.181-187, 10.5194/isprs-archives-XLII-2-W10-181-2019

 

J. Quintana, R. Garcia, R. Campos, L.Neumann, T. Weiss, K. Köser, J. Mohrmann, J. Greinert: Towards automatic recognition of mining targets using an autonomous robot. MTS/IEEE OCEANS 2018, Charleston, USA.
doi:  10.1109/OCEANS.2018.8604491

 

Hongbo Liu, Jan Sticklus, Kevin Köser, Henk-Jan T. Hoving, Hong Song, Ying Chen, Jens Greinert, and Timm Schoening: 
TuLUMIS - a tunable LED-based underwater multispectral imaging system, Optics Express 26, 7811-7828 (2018). Optical Society of America.
doi: 10.1364/OE.26.007811

 

Timm Schoeing, Kevin Köser, Jens Greinert:
An acquisition, curation and management workflow for sustainable, terabyte-scale marine image analysis. Scientific Data (5) 180181 (2018). Nature Publishing Group.
doi:10.1038/sdata.2018.181

 
 

Peukert, A., Schoening, T., Alevizos, E., Köser, K., Kwasnitschka, T., and Greinert, J. (2018) Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data, Biogeosciences, 15, 2525-2549, https://doi.org/10.5194/bg-15-2525-2018

 
 

Urban, P., Köser, K. and Greinert, J. (2016) Processing of multibeam water column image data for automated bubble/seep detection and repeated mapping. Limnol. Oceanogr. Methods. doi: 10.1002/lom3.10138

 
 

Anne Jordt, Kevin Köser, Reinhard Koch:
Refractive 3D reconstruction on underwater images
Methods in Oceanography, Volumes 15–16, April–July 2016, Pages 90-113, ISSN 2211-1220, doi 10.1016/j.mio.2016.03.001

 

T. Kwasnitschka, K.Köser, J.Sticklus, M.Rothenbeck, T.Weiß, E.Wenzlaff, T.Schoening, L. Triebe, A. Steinführer, C.Devey, J.Greinert:
DeepSurveyCam: A deep ocean optical survey system
Sensors 2016, 16(2), 164; doi:10.3390/s16020164

 

Durden, Jennifer M., Schoening, Timm, Althaus, Franziska, Friedman, Ariell, Garcia, Rafael, Glover, Adrian G., Greinert, Jens, Jacobsen Stout, Nancy, Jones, Daniel O.B., Jordt, Anne, Kaeli, Jeffrey, Köser, Kevin, Kuhnz, Linda A., Lindsay, Dhugal, Morris, Kirsty J., Nattkemper, Tim W., Osterloff, Jonas, Ruhl, Henry A., Singh, Hanumant, Tran, Maggie and Bett, Brian J.:
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding.
In, Hughes, R.N., Hughes, D.J., Smith, I.P. and Dale, A.C. (eds.) Oceanography and Marine Biology: An Annual Review, Vol. 54. Boca Raton, US, CRC Press, 1-72