Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

Introductory remarks on publicationslist

Best paper award at the 3DPVT 2010 conference for the paper “On Recall Rate of Interest Point Detectors”. Henrik Aanæs, Anders Dahl and Kim Steenstrup Pedersen.

  1. Published

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, S. N., Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 Jan 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published
  3. Published

    A SVD Based Image Complexity Measure

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim & Nielsen, Mads, 2009, VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Vol. 2. p. 34-39 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    A curious robot: An explorative-exploitive inference algorithm

    Steenstrup Pedersen, Kim & Johansen, P., 2007, RoboMat 07: Coimbra, Portugal, 17-19 September, 2007. Araujo, H. & Ribeiro, M. I. (eds.). CIM (Centro Internacional de Matematica), p. 51-57 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    A physically natural metric for human motion and the associated Brownian motion model

    Hauberg, S. & Steenstrup Pedersen, Kim, 2011.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  6. Published

    A scale invariant covariance structure on jet space

    Steenstrup Pedersen, Kim, Loog, M. & Markussen, Bo, 2005, Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, p. 12-23 (Lecture notes in computer science, Vol. 3753/2005).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 2569-2578

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Active learning with support vector machines

    Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

    Research output: Contribution to journalReviewResearchpeer-review

  9. Published

    An empirical study on the performance of spectral manifold learning techniques

    Mysling, P., Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Artificial Neural Networks and Machine Learning – ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). Springer, p. 347-354 8 p. (Lecture notes in computer science, Vol. 6791).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published
  11. Published

    Big universe, big data: machine learning and image analysis for astronomy

    Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Brownian Images: a generic background model

    Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  13. Published

    Civile droner i Danmark: potentialer, udfordringer og anbefalinger

    Smith Lygum, A. K., Skjødt Nielsen, J., Bang Bådum, N., La Cour-Harbo, A., Paulin Hansen, J., Steenstrup Pedersen, Kim, Larsen, L. M., Kessing, P. V., Madsen Almdal, T., Ploug, T. & Grønbæk, D., 2014, Teknologirådet. 103 p.

    Research output: Book/ReportReportCommissioned

  14. Published

    Computing Optic Flow by Scale-Space Integration of Normal Flow

    Steenstrup Pedersen, Kim & Nielsen, M., 2001, Scale-Space and Morphology in Computer Vision:Proceeding of Scale-space 2001: , Lecture Notes in Computer Science, Vol. 2106. Springer, Vol. 2106. p. 14-25

    Research output: Chapter in Book/Report/Conference proceedingReport chapterResearch

  15. Published

    Computing Optic Flow by Scale-Space Integration of Normal Flow

    Steenstrup Pedersen, Kim & Nielsen, Mads, 2001, Proceedings of DSAGM'01, Den 10. Danske Konference om Mønstergenkendelse og Billedanalyse. p. 124-135 (DIKU teknisk rapport; No. 01-04).

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

  16. Published

    Data-driven importance distributions for articulated tracking

    Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Boykov, Y., Kahl, F., Lempitsky, V. & Schmidt, F. R. (eds.). Springer, p. 287-299 13 p. (Lecture notes in computer science, Vol. 6819).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  17. Published

    Deep Learning for Detection of Railway Signs and Signals

    Karagiannis, G., Olsen, Søren Ingvor & Steenstrup Pedersen, Kim, 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference, CVC 2019, Las Vegas, Nevada, USA, 25-26 April 2019. Arai, K. & Kapoor, S. (eds.). Springer, p. 1-15 (Advances in Intelligent Systems and Computing, Vol. 943).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  18. Published

    Dense marker-less three dimensional motion capture

    Hauberg, S., Jensen, B. R., Engell-Nørregård, M. P., Erleben, Kenny & Steenstrup Pedersen, Kim, 2010. 4 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  19. Detecting Interlaced or Progressive Source of Video

    Keller, S. H., Steenstrup Pedersen, Kim & Lauze, F., 2005, IEEE 7th Workshop on Multimedia Signal Processing. IEEE Signal Processing Society, p. 181-184

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  20. Published

    Droner til monitering af flerårigt ukrudt i korn

    Rasmussen, Jesper, Nielsen, J., Streibig, Jens Carl, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Jensen, J. E., 2016, Miljøstyrelsen. 68 p. (Bekæmpelsesmiddelforskning; No. 165).

    Research output: Book/ReportReportResearchpeer-review

  21. Published

    Field of Particle Filters Image Inpainting

    Cuzol, A., Steenstrup Pedersen, Kim & Nielsen, Mads, 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 147-156 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. Published

    Finding the best feature detector-descriptor combination

    Dahl, A. L., Aanæs, H. & Steenstrup Pedersen, Kim, 2011, 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT). IEEE, p. 318-325 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. Published

    From image acquisition with unmanned aerial vehicles (UAV) to patch spraying in farmer's fields

    Rasmussen, Jesper, Nielsen, J., Olsen, Søren Ingvor, Steenstrup Pedersen, Kim, Jensen, J. E. & Horfarter, R., 2018, 18th European Weed Research Society Symposium: book of abstracts. European Weed Research Society, p. 75 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

  24. Published

    Gaussian-like spatial priors for articulated tracking

    Hauberg, S., Sommer, Stefan Horst & Steenstrup Pedersen, Kim, 2010, Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Daniilidis, K., Maragos, P. & Paragios, N. (eds.). Springer, Vol. Part I. p. 425-437 13 p. (Lecture notes in computer science; No. 6311).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  25. Generalized Context Learning

    Johansen, P. & Steenstrup Pedersen, Kim, 2003, Proceedings fra den 12. Danske Konference om Mønstergenkendelse og Billedbehandling. 03/06 ed. Department of Computer Science, University of Copenhagen, p. 82-92

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  26. Published

    Generic maximum likely scale selection

    Steenstrup Pedersen, Kim, Loog, M. & Markussen, Bo, 2007, Scale Space and Variational Methods in Computer Vision: First International conference , SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (eds.). Springer, p. 362-373 12 p. (Lecture notes in computer science; No. 4485).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  27. Published

    Geometric and Texture Inpainting by Gibbs Sampling

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim & Nielsen, Mads, 2007, Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007. Borga, M., Brun, A. & Felsberg, M. (eds.). Linköpings Universitet, 4 p. (Institutionen för medicinsk teknik, Universitetet i Linköping; No. LiU-IMT-R-0047).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  28. Published

    HUMIM software for articulated tracking

    Hauberg, S. & Steenstrup Pedersen, Kim, 2012, Datalogisk Institut, Københavns Universitet: Faculty of Science, University of Copenhagen. 7 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport).

    Research output: Book/ReportReportResearch

  29. Published

    Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

    Dreier, E. S., Sørensen, Klavs Martin, Lund-Hansen, T., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2022, In: Journal of Near Infrared Spectroscopy. 30, 3, p. 107–121

    Research output: Contribution to journalJournal articleResearchpeer-review

  30. Published

    Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007

    Kjær Ersbøll, B. (ed.) & Steenstrup Pedersen, Kim (ed.), 2007, Berlin / Heidelberg: Springer. 1005 p. (Lecture notes in computer science; No. 4522).

    Research output: Book/ReportBookResearchpeer-review

  31. Published

    Image Inpainting by Cooling and Heating

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim & Nielsen, Mads, 2007, Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007. Springer, p. 591-600 10 p. (Lecture notes in computer science; No. 4522).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  32. Published

    Image analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

    Paulsen, R. R. (ed.) & Steenstrup Pedersen, Kim (ed.), 2015, Springer. (Lecture notes in computer science, Vol. 9127).

    Research output: Book/ReportBookResearchpeer-review

  33. Published

    Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics

    Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE, p. 485-494

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  34. Published

    Interactive inverse kinematics for human motion estimation

    Engell-Nørregård, M. P., Hauberg, S., Lapuyade, J., Erleben, Kenny & Steenstrup Pedersen, Kim, 2009, Vriphys 09: 6th Workshop on Virtual reality Interactions and Physical Simulations. Prautzsch, H., Schmitt, A., Bender, J. & Teschner, M. (eds.). p. 77-84

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  35. Published

    Interesting interest points: a comparative study of interest point performance on a unique data set

    Aanæs, H., Dahl, A. L. & Steenstrup Pedersen, Kim, 2012, In: International Journal of Computer Vision. 97, 1, p. 18-35 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  36. Jet based feature classification

    Lillholm, Martin & Steenstrup Pedersen, Kim, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004: ICPR 2004. IEEE, p. 787-790 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  37. Published

    Jet-based local image descriptors

    Boesen Lindbo Larsen, A., Darkner, Sune, Dahl, A. L. & Steenstrup Pedersen, Kim, 2012, Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y. & Schmid, C. (eds.). Springer, p. 638-650 13 p. (Lecture notes in computer science, Vol. 7574).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  38. Published

    Learning models of activities involving interacting objects

    Manfredotti, C., Steenstrup Pedersen, Kim, Hamilton, H. J. & Zilles, S., 2013, Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. Tucker, A., Höppner, F., Siebes, A. & Swift, S. (eds.). Springer, p. 285-297 13 p. (Lecture notes in computer science, Vol. 8207).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  39. Published

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

    Ersbøll, B. K. & Steenstrup Pedersen, Kim, 1 Dec 2007, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4522 LNCS

    Research output: Contribution to journalEditorialResearchpeer-review

  40. Published

    Maximum likely scale estimation

    Loog, M., Steenstrup Pedersen, Kim & Markussen, Bo, 2005, Deep Structure, Singularities, and Computer Vision. Springer, p. 146-156 (Lecture notes in computer science, Vol. 3753/2005).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  41. Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model

    Steenstrup Pedersen, Kim, van Dorst, P. & Loog, M., 2006

    Research output: Other contributionResearch

  42. Published

    Multi-Scale Natural Images: A database and some statistics

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim & Nielsen, Mads, 2008, Proceedings of 16'th Danish Conference on Pattern Recognition and Image Analysis (DSAGM) 2008. Olsen, S. I. (ed.). Department of Computer Science, University of Copenhagen, 2 p. (DIKU Technical Report; No. 08-10).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  43. Published

    Natural metrics and least-committed priors for articulated tracking

    Hauberg, S., Sommer, Stefan Horst & Steenstrup Pedersen, Kim, 2012, In: Image and Vision Computing. 30, 6-7, p. 453-461 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  44. Published

    Nearest neighbor density ratio estimation for large-scale applications in astronomy

    Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  45. Published

    Nearest neighbour regression outperforms model-based prediction of specific star formation rate

    Stensbo-Smidt, K., Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2013, 2013 IEEE International Conference on Big Data. IEEE, p. 141-144 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  46. Published

    Normalisering af billedafledte i skalarum ved hjælp af den fraktale dimension

    Steenstrup Pedersen, Kim, 1999, Datalogisk Institut, Københavns Universitet. 56 p. (DIKU-rapport 99/2).

    Research output: Book/ReportReportResearch

  47. On a Kernels, Lévy Processes, and Natural Image Statistics

    Steenstrup Pedersen, Kim, Duits, R. & Nielsen, M., 2005, Scale Space and PDE Methods in Computer Vision. <Forlag uden navn>, p. 468-479 (Lecture notes in computer science, Vol. 3459/2005).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  48. Published

    On recall rate of interest point detectors

    Aanæs, H., Lindbjerg Dahl, A. & Steenstrup Pedersen, Kim, 2010, Electronic Proceedings of 3DPVT'10: The Fifth International Symposium on 3D Data Processing, Visualization and Transmission. p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  49. Published

    On the Rate of Structural Change in Scale Spaces

    Gustafsson, D. K. J., Steenstrup Pedersen, Kim, Lauze, Francois Bernard & Nielsen, Mads, 2009, Proceedings of Scale Space and Variational Methods in Computer Vision (SSVM) 09. Springer, Vol. 5567. p. 832-843 11 p. (Lecture notes in computer science, Vol. 5567/209).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  50. Published

    Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS)

    Egilsson, J., Steenstrup Pedersen, Kim, Olsen, Søren Ingvor, Nielsen, J., Ntakos, G. & Rasmussen, Jesper, 2015. 1 p.

    Research output: Contribution to conferencePosterResearch

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