Selected List of Publications by Kim Steenstrup Pedersen:

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Refereed Conference Articles and Book Contributions

  • Søren Hauberg and Kim Steenstrup Pedersen.
    Spatial measures between human poses for classification and understanding.
    In Francisco J. Perales, Robert B. Fisher, and Thomas B. Moeslund, editors, Articulated Motion and Deformable Objects (AMDO), volume 7378 of Lecture Notes in Computer Science, pages 26-36. Springer Berlin / Heidelberg, 2012.
  • Anders Lindbjerg Dahl, Henrik Aanæs, and Kim Steenstrup Pedersen.
    Finding the best feature detector-descriptor combination.
    In Electronic proceedings of 3DIMPVT 2011, 2011.
  • Søren Hauberg and Kim Steenstrup Pedersen.
    Data-driven importance distributions for articulated tracking.
    In Proceedings of EMMCVPR, volume 6819 of Lecture Notes in Computer Science, pages 287-299. SpringerLink Springer Berlin / Heidelberg, 2011.
  • Søren Hauberg and Kim Steenstrup Pedersen.
    Stick it! articulated tracking using spatial rigid object priors.
    In ACCV 2010, volume LNCS 6494 of Lecture Notes in Computer Science, pages 758-769. Springer, Heidelberg, 2011.
  • Søren Hauberg and Kim Steenstrup Pedersen.
    A physically natural metric for human motion and the associated brownian motion model.
    In Abstract at 1st IEEE Workshop on Kernels and Distances for Computer Vision (ICCV workshop), 2011.
  • Anders Boesen Lindbo Larsen, Søren Hauberg, and Kim Steenstrup Pedersen.
    Unscented kalman filtering for articulated human tracking.
    In Proceedings of SCIA 2011, volume 6688 of Lecture Notes in Computer Science, pages 228-237. Springer, 2011.
  • Peter Mysling, Søren Hauberg, and Kim Steenstrup Pedersen.
    An empirical study on the performance of spectral manifold learning techniques.
    In Proceedings of ICANN, volume 6791 of Lecture Notes in Computer Science, pages 347-354. SpringerLink Springer Berlin / Heidelberg, 2011.
  • Henrik Aanæs, Anders Lindbjerg Dahl, and Kim Steenstrup Pedersen.
    On recall rate of interest point detectors.
    In Electronic Proceedings of 3DPVT'10 : The Fifth International Symposium on 3D Data Processing, Visualization and Transmission, 2010.
  • Søren Hauberg, Bente Rona Jensen, Morten Engell-Nørregard, Kenny Erleben, and Kim Steenstrup Pedersen.
    Dense marker-less three dimensional motion capture.
    In Eleventh International Symposium on the 3D Analysis of Human Movement (3DMA-10), 2010.
  • Søren Hauberg, Stefan Sommer, and Kim Steenstrup Pedersen.
    Gaussian-like spatial priors for articulated tracking.
    In P.Paragios N. Daniilidis, K.Maragos, editor, Computer Vision - ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I, volume 6311 of Lecture Notes in Computer Science, pages 425-437. Springer, 2010.
  • Søren Hauberg, Jerome Lapuyade, Morten Engell-Nørregard, Kenny Erleben, and Kim Steenstrup Pedersen.
    Three dimensional monocular human motion analysis in end-effector space.
    In Daniel Cremers et al., editors, Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science, pages 235-248. Springer, August 2009.
    ftp://ftp.diku.dk/diku/image/publications/hauberg.lapuyade.engell-norregaard.erleben.pedersen.090701.pdf.
  • David Gustavsson, Kim Steenstrup Pedersen, and Mads Nielsen.
    A svd based image complexity measure.
    In International Conference on Computer Vision Theory and Applications (VISAPP'09), 2009.
  • David Gustavsson, Kim Steenstrup Pedersen, Francois Lauze, and Mads Nielsen.
    On the rate of structural change in scale spaces.
    In Proceedings of Scale Space and Variational Methods in Computer Vision SSVM, 2009.
  • Morten Engell-Nørregard, Søren Hauberg, Jerome Lapuyade, Kenny Erleben, and Kim Steenstrup Pedersen.
    Interactive inverse kinematics for human motion estimation.
    In Proceedings of Virtual Reality Interaction and Physical Simulation (VRIPHYS), 2009.
  • David Gustavsson, Kim Steenstrup Pedersen, and Mads Nielsen.
    Geometric and texture inpainting by gibbs sampling.
    In Swedish Symposium on Image Analysis (SSBA '07), March 2007.
  • David Gustavsson, Kim Steenstrup Pedersen, and Mads Nielsen.
    Image inpainting by cooling and heating.
    In Bjarne Ersbøll and Kim Steenstrup Pedersen, editors, Scandinavian Conference on Image Analysis (SCIA '07), volume 4522 of Lecture Notes in Computer Science, pages 591-600. Springer Verlag, June 2007.
  • Kim Steenstrup Pedersen, Marco Loog, and Pieter van Dorst.
    Salient point and scale detection by minimum likelihood.
    In JMLR: Workshop and Conference Proceedings: Gaussian Processes in Practice, volume 1, pages 59-72, 2007.
  • Kim Steenstrup Pedersen and Peter Johansen.
    A curious robot: An explorative-exploitive inference algorithm.
    In Proceedings of Workshop of Robotics and Mathematics (RoboMat 2007), 2007.
  • Kim Steenstrup Pedersen, Marco Loog, and Bo Markussen.
    Generic maximum likely scale selection.
    In 1st International Conference on Scale Space and Variational Methods in Computer Vision, volume LNCS 4485 of Lecture Notes in Computer Science, pages 362-373. Springer, 2007.
  • Sune Høgild Keller, Kim Steenstrup Pedersen, and Francois Lauze.
    Detecting interlaced or progressive source of video.
    In 2005 IEEE Seventh Workshop on Multimedia Signal Processing, pages 181-184. IEEE, 2005.
  • Marco Loog, Kim Steenstrup Pedersen, and Bo Markussen.
    Maximum likely scale estimation.
    In Ole Fogh Olsen, Luc Florack, and A. Kuijper, editors, Conference on Deep Structure, Singularities and Computer Vision, volume 3753 of Lecture Notes in Computer Science, pages 146-156. Springer Verlag, 2005.
  • Bo Markussen, Kim Steenstrup Pedersen, and Marco Loog.
    A scale invariant covariance structure on jet space.
    In Ole Fogh Olsen, Luc Florack, and A. Kuijper, editors, Conference on Deep Structure, Singularities and Computer Vision, volume 3753 of Lecture Notes in Computer Science, pages 12-23. Springer Verlag, 2005.
  • Kim Steenstrup Pedersen, Remco Duits, and Mads Nielsen.
    On alpha kernels, levy processes, and natural image statistics.
    In Proceedings of Scale Space 2005, Lecture Notes in Computer Science, pages 468-479. Springer, 2005.
  • Martin Lillholm and Kim Steenstrup Pedersen.
    Jet based classification.
    In International Conference on Pattern Recognition 2004, pages 787-790, 2004.
  • Kim Steenstrup Pedersen and Martin Lillholm.
    Brownian images: A generic background model.
    In Statistical Learning in Computer Vision, (ECCV 2004), 2004.
  • Kim Steenstrup Pedersen.
    Properties of brownian image models in scale-space.
    In L. Griffin and M. Lillholm, editors, Scale Space Methods in Computer Vision: Proceedings of the 4th Scale-Space conference, volume 2695 of Lecture Notes in Computer Science, pages 281-296, Isle of Skye, Scotland, June 2003.
  • Kim Steenstrup Pedersen and Ann B. Lee.
    Toward a full probability model of edges in natural images.
    In A. Heyden, G. Sparr, Mads Nielsen, and Peter Johansen, editors, Proceedings of 7th European Conference on Computer Vision, volume 2350 of Lecture Notes in Computer Science, pages 328-342, Copenhagen, Denmark, May 2002. Springer Verlag.
  • Ann Lee, Kim Steenstrup Pedersen, and David Mumford.
    The complex statistics of high-contrast patches in natural images.
    In Proceedings of Second International IEEE Workshop on Statistical and Computational Theories of Vision, Vancouver, Canada, 2001.
    Web publication.
  • Kim Steenstrup Pedersen and Mads Nielsen.
    Computing optic flow by scale-space integration of normal flow.
    In M. Kerckhove, editor, Scale-Space and Morphology in Computer Vision: Proceedings of Scale-Space'01, volume 2106 of Lecture Notes in Computer Science, pages 14-25. Springer, 2001.
  • Kim Steenstrup Pedersen and Mads Nielsen.
    The hausdorff dimension and scale-space normalisation of natural images.
    In Scale-Space Theory in Computer Vision: Scale-Space'99, Proceedings, Lecture Notes in Computer Science, pages 271-282. Springer Verlag, 1999.