Kim Steenstrup Pedersen
Sektionsleder, Professor
Research
Universitetsparken 15
2100 København Ø
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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.- 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 proceeding › Article in proceedings › Research › peer-review
- Published
A Novel PLS2-Based Algorithm for Imputing Missing Values in Foodomics/Metabolomics Studies with multiple response variables
Tashk, Ashkan, Engelsen, Søren Balling, Khakimov, Bekzod, Steenstrup Pedersen, Kim, Sørensen, Klavs Martin & Engstrøm, Ole-Christian Galbo, 2023.Research output: Contribution to conference › Poster › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
A physically natural metric for human motion and the associated Brownian motion model
Hauberg, S. & Steenstrup Pedersen, Kim, 2011.Research output: Contribution to conference › Conference abstract for conference › Research
- 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 proceeding › Article in proceedings › Research › peer-review
- 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. 2569-2578Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 journal › Review › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios
Engstrøm, Ole-Christian Galbo, Dreier, E. S., Jespersen, Birthe P Møller & Steenstrup Pedersen, Kim, 2023, arxiv.org. 21 p.Research output: Book/Report › Report › Research
- 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 journal › Journal article › Research › peer-review
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 proceeding › Article in proceedings › Research › peer-review
- 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. 14-25Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research
- 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 proceeding › Conference abstract in proceedings › Research
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 conference › Conference abstract for conference › Research
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. 181-184Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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/Report › Report › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Conference abstract in proceedings › Research
- 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 proceeding › Article in proceedings › Research › peer-review
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. 82-92Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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/Report › Report › Research
- 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. 107–121Research output: Contribution to journal › Journal article › Research › peer-review
- 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/Report › Book › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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/Report › Book › Research › peer-review
- 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. 485-494Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 77-84Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 LNCSResearch output: Contribution to journal › Editorial › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model
Steenstrup Pedersen, Kim, van Dorst, P. & Loog, M., 2006Research output: Other contribution › Research
- 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 proceeding › Article in proceedings › Research
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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/Report › Report › Research
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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 conference › Poster › Research
- Published
Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs
Rasmussen, Jesper, Nielsen, J., Streibig, Jens Carl, Jensen, J. E., Steenstrup Pedersen, Kim & Olsen, Søren Ingvor, 2019, In: Precision Agriculture. 20, 5, p. 983–999Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Predicting Protein Content in Grain Using Hyperspectral Deep Learning
Engstrøm, Ole-Christian Galbo, Dreier, E. S. & Steenstrup Pedersen, Kim, 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE, p. 1372-1380Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Predicting articulated human motion from spatial processes
Hauberg, S. & Steenstrup Pedersen, Kim, 2011, In: International Journal of Computer Vision. 94, 3, p. 317-334 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Preface
Kjær Ersbøll, B. & Steenstrup Pedersen, Kim, 2007, Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007. Kjær Ersbøll, B. & Steenstrup Pedersen, K. (eds.). Berlin / Heidelberg: Springer, 1 p. (Lecture notes in computer science; No. 4522).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
- Published
Properties of Brownian Image Models in Scale-Space
Steenstrup Pedersen, Kim, 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. <Forlag uden navn>, p. 281-296 (Lecture notes in computer science, Vol. 2695/2003).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Refractive Pose Refinement: Generalising the Geometric Relation between Camera and Refractive Interface
Hu, X., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2023, In: International Journal of Computer Vision. 131, 6, p. 1448-1476Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research
Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Wang, L., Gall, J., Chin, T-J., Sato, I. & Chellappa, R. (eds.). Springer, p. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13845 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research
Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I. Springer, p. 2967-2983 (Lecture Notes in Computer Science, Vol. 13841).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Sacrificing information for the greater good: how to select photometric bands for optimal accuracy
Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Salient Point and Scale Detection by Minimum Likelihood
Steenstrup Pedersen, Kim, Loog, M. & van Dorst, P., 2007, Gaussian processes in practice. Microtome Publishing, p. 59-72 14 p. (JMLR: Workshop and Conference Proceedings; No. 1).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Second order structure of scale-space measurements
Markussen, Bo, Steenstrup Pedersen, Kim & Loog, M., 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 207-220 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Shape index descriptors applied to texture-based galaxy analysis
Steenstrup Pedersen, Kim, Stensbo-Smidt, K., Zirm, A. W. & Igel, Christian, 2013, 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 2440-2447 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Spatial measures between human poses for classification and understanding
Hauberg, S. & Steenstrup Pedersen, Kim, 2012, Articulated Motion and Deformable Objects: 7th International Conference, AMDO 2012, Port d’Andratx, Mallorca, Spain, July 11-13, 2012. Proceedings. Perales, F. J., Fisher, R. B. & Moeslund, T. B. (eds.). Springer, p. 26-36 11 p. (Lecture notes in computer science, Vol. 7378).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Special Issue on Tribute Workshop for Peter Johansen
Nielsen, Mads, de Bruijne, Marleen, Jørgensen, Camilla Holm, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Sporring, Jon, 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 119-120Research output: Contribution to journal › Editorial › Research
- Published
Special section on 19th Scandinavian conference on image analysis (SCIA 2015)
Steenstrup Pedersen, Kim & R. Paulsen, R., 2016, In: Pattern Recognition Letters. 80, p. 238 1 p.Research output: Contribution to journal › Editorial › Research
- Published
Statistics of Natural Image Geometry
Steenstrup Pedersen, Kim, 2003, Department of Computer Science, University of Copenhagen. 167 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
Stick it! Articulated tracking using spatial rigid object priors
Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. Kimmel, R., Klette, R. & Sugimoto, A. (eds.). Springer, Vol. III. p. 758-769 12 p. (Lecture notes in computer science, Vol. 6494).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Support vector machines for active learning
Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . p. 38 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- Published
The Complex Statistics of High-contrast Patches in Natural Images
Lee, A. B., Steenstrup Pedersen, Kim & Mumford, D., 2001, WWW Proceedings of Second International IEEE Workshop on Statistical and Computational Theories of Vision. p. 31Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research › peer-review
- Published
The Hausdorff Dimension and Scale-Space Normalisation of Natural Images
Steenstrup Pedersen, Kim & Nielsen, M., 1999, Scale-space Theories in Computer Vision. Berlin Heidelberg: Springer Science+Business Media, Vol. 1682. p. 271-282Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
- Published
The Hausdorff Dimension and Scale-Space Normalisation of Natural Images
Steenstrup Pedersen, Kim & Nielsen, M., 2000, In: Journal of Visual Communication and Image Representation. 11, 2, p. 266-277Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The Hausdorff Dimension and Scale-Space Normalization of 'Natural Images'
Steenstrup Pedersen, Kim & Nielsen, Mads, 1999.Research output: Contribution to conference › Conference abstract for conference › Research
- Published
The Nonlinear Statistics of High-contrast Patches in Natural Images
Lee, A., Steenstrup Pedersen, Kim & Mumford, D., 2003, In: International Journal of Computer Vision. 54, 1-3, p. 83-103Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The Nonlinear Statistics of High-contrast Patches in Natural Images, APPTS Report #01-3
Lee, A. B., Steenstrup Pedersen, Kim & Mumford, D., 2001, DAM, Brown University, USA. 36 p.Research output: Book/Report › Report › Research
- Published
Three dimensional monocular human motion analysis in end-effector space
Hauberg, S., Lapuyade, J., Engell-Nørregård, M. P., Erleben, Kenny & Steenstrup Pedersen, Kim, 2009, Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Cremers, D., Boykov, Y., Blake, A. & Schmidt, F. R. (eds.). Springer, p. 235-248 14 p. (Lecture notes in computer science, Vol. 5681).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Toward a Full probability Model of Edges in Natural Images
Steenstrup Pedersen, Kim & Lee, A. B., 2002, Proceedings of the 7th European Conference on Computer Vision. Springer, p. 328-342Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research
- Published
Tribute Workshop for Peter Johansen
Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).Research output: Book/Report › Anthology › Research
- Published
Turbulence in Optical Flow Fields
Steenstrup Pedersen, Kim, 2001, Datalogisk Institut, Københavns Universitet. 110 p. ( DIKU-rapport 00/03).Research output: Book/Report › Report › Research
- Published
Unscented Kalman filtering for articulated human tracking
Boesen Lindbo Larsen, A., Hauberg, S. & Steenstrup Pedersen, Kim, 2011, Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings. Heyden, A. & Kahl, F. (eds.). Springer, p. 228-237 10 p. (Lecture notes in computer science, Vol. 6688).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unscented Kalman filtering on Riemannian manifolds
Hauberg, S., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2013, In: Journal of Mathematical Imaging and Vision. 46, 1, p. 103-120 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 545595
Most downloads
-
4509
downloads
Shape index descriptors applied to texture-based galaxy analysis
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
4110
downloads
Jet-based local image descriptors
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
1805
downloads
HUMIM software for articulated tracking
Research output: Book/Report › Report › Research
Published