@InProceedings{	  hauberg.pedersen12b,
  title		= {Spatial Measures between Human Poses for Classification
		  and Understanding},
  publisher	= {Springer Berlin / Heidelberg},
  author	= {S{\o}ren Hauberg and Kim Steenstrup Pedersen},
  booktitle	= {Articulated Motion and Deformable Objects (AMDO)},
  year		= {2012},
  volume	= {7378},
  pages		= {26--36},
  editor	= {Perales, Francisco J. and Fisher, Robert B. and Moeslund,
		  Thomas B.},
  series	= {Lecture Notes in Computer Science},
  url		= {\url{http://link.springer.com/chapter/10.1007/978-3-642-31567-1_3}}
		  
}

@InProceedings{	  dahl.aanaes.ea11a,
  title		= {Finding the Best Feature Detector-Descriptor Combination},
  author	= {{Anders Lindbjerg Dahl} and Henrik Aan{\ae}s and Kim
		  Steenstrup Pedersen},
  year		= {2011},
  booktitle	= {Electronic proceedings of 3DIMPVT 2011}
}

@InProceedings{	  hauberg.pedersen11a,
  title		= {Data-Driven Importance Distributions for Articulated
		  Tracking},
  booktitle	= {Proceedings of EMMCVPR},
  publisher	= {SpringerLink Springer Berlin / Heidelberg},
  author	= {S{\o}ren Hauberg and Kim Steenstrup Pedersen},
  year		= {2011},
  volume	= {6819},
  pages		= {287--299},
  series	= {Lecture Notes in Computer Science},
  issn		= {0302-9743}
}

@InProceedings{	  hauberg.pedersen11c,
  title		= {Stick It! Articulated Tracking using Spatial Rigid Object
		  Priors},
  publisher	= {Springer, Heidelberg},
  author	= {S{\o}ren Hauberg and Kim Steenstrup Pedersen},
  year		= {2011},
  series	= {Lecture Notes in Computer Science},
  pages		= {758-769},
  booktitle	= {ACCV 2010},
  volume	= {LNCS 6494}
}

@InProceedings{	  hauberg.pedersen11d,
  title		= {A Physically Natural Metric for Human Motion and the
		  Associated Brownian Motion Model},
  booktitle	= {Abstract at 1st IEEE Workshop on Kernels and Distances for
		  Computer Vision (ICCV workshop)},
  author	= {S{\o}ren Hauberg and Kim Steenstrup Pedersen},
  year		= {2011}
}

@InProceedings{	  larsen.hauberg.ea11a,
  title		= {Unscented Kalman Filtering for Articulated Human
		  Tracking},
  publisher	= {Springer},
  author	= {{Boesen Lindbo Larsen}, Anders and S{\o}ren Hauberg and
		  Kim Steenstrup Pedersen},
  year		= {2011},
  volume	= {6688},
  series	= {Lecture Notes in Computer Science},
  pages		= {228-237},
  booktitle	= {Proceedings of SCIA 2011}
}

@InProceedings{	  mysling.hauberg.ea11a,
  title		= {An Empirical Study on the Performance of Spectral Manifold
		  Learning Techniques},
  publisher	= {SpringerLink Springer Berlin / Heidelberg},
  author	= {Peter Mysling and S{\o}ren Hauberg and Kim Steenstrup
		  Pedersen},
  booktitle	= {Proceedings of ICANN},
  year		= {2011},
  volume	= {6791},
  pages		= {347--354},
  series	= {Lecture Notes in Computer Science},
  issn		= {0302-9743}
}

@InProceedings{	  aanaes.dahl.ea10a,
  author	= {Henrik Aan{\ae}s and Anders {Lindbjerg Dahl} and Kim
		  Steenstrup Pedersen},
  booktitle	= {Electronic Proceedings of 3DPVT'10 : The Fifth
		  International Symposium on 3D Data Processing,
		  Visualization and Transmission},
  date-added	= {2011-02-12 15:11:50 +0100},
  date-modified	= {2011-02-12 15:13:45 +0100},
  title		= {On Recall Rate of Interest Point Detectors},
  year		= {2010}
}

@InProceedings{	  hauberg.rona.ea10,
  author	= {S{\o}ren Hauberg and Bente Rona Jensen and Morten
		  Engell-N{\o}rreg{\aa}rd and Kenny Erleben and Kim
		  Steenstrup Pedersen},
  title		= {Dense Marker-less Three Dimensional Motion Capture},
  booktitle	= {Eleventh International Symposium on the 3D Analysis of
		  Human Movement (3DMA-10)},
  year		= {2010}
}

@InProceedings{	  hauberg.sommer.ea10,
  author	= {S{\o}ren Hauberg and Stefan Sommer and Kim Steenstrup
		  Pedersen},
  booktitle	= {Computer Vision - ECCV 2010 : 11th European Conference on
		  Computer Vision, Heraklion, Crete, Greece, September 5-11,
		  2010, Proceedings, Part I},
  editor	= {Daniilidis, K.Maragos, P.Paragios, N.},
  pages		= {425--437},
  publisher	= {Springer},
  series	= {Lecture Notes in Computer Science},
  title		= {Gaussian-like Spatial Priors for Articulated Tracking},
  volume	= {6311},
  year		= {2010}
}

@InProceedings{	  endeffector:hauberg_et_al09,
  title		= {Three Dimensional Monocular Human Motion Analysis in
		  End-Effector Space},
  author	= {S{\o}ren Hauberg and Jerome Lapuyade and Morten
		  Engell-N{\o}rreg{\aa}rd and Kenny Erleben and Kim
		  Steenstrup Pedersen},
  booktitle	= {Energy Minimization Methods in Computer Vision and Pattern
		  Recognition},
  year		= {2009},
  month		= {August},
  pages		= {235-248},
  editor	= {Daniel Cremers and others},
  publisher	= {Springer},
  series	= {Lecture Notes in Computer Science},
  note		= {\url{ftp://ftp.diku.dk/diku/image/publications/hauberg.lapuyade.engell-norregaard.erleben.pedersen.090701.pdf}}
		  
}

@InProceedings{	  gustavsson.ea:09a,
  author	= {David Gustavsson and Kim Steenstrup Pedersen and Mads
		  Nielsen},
  title		= {A SVD Based Image Complexity Measure},
  booktitle	= {International Conference on Computer Vision Theory and
		  Applications (VISAPP'09)},
  year		= {2009},
  project	= {VISIONTRAIN,NISA}
}

@InProceedings{	  gustavsson.ea:09b,
  author	= {David Gustavsson and Kim Steenstrup Pedersen and Francois
		  Lauze and Mads Nielsen},
  title		= {On the rate of structural change in scale spaces },
  booktitle	= {Proceedings of Scale Space and Variational Methods in
		  Computer Vision {SSVM}},
  year		= {2009},
  project	= {VISIONTRAIN,NISA}
}

@InProceedings{	  noerregaard.ea.09a,
  author	= {Morten Engell-N{\o}rreg{\aa}rd and S{\o}ren Hauberg and
		  Jerome Lapuyade and Kenny Erleben and Kim Steenstrup
		  Pedersen},
  title		= {Interactive Inverse Kinematics for Human Motion
		  Estimation},
  booktitle	= {Proceedings of Virtual Reality Interaction and Physical
		  Simulation (VRIPHYS)},
  year		= {2009},
  month		= november,
  location	= karlsruhe
}

@InProceedings{	  gustavsson.pedersen.nielsen:07a,
  author	= {David Gustavsson and Kim Steenstrup Pedersen and Mads
		  Nielsen},
  title		= {Geometric and Texture Inpainting by Gibbs Sampling},
  booktitle	= {Swedish Symposium on Image Analysis (SSBA '07)},
  year		= {2007},
  month		= mar,
  abstract	= {This paper discuss a method suitable for inpainting both
		  large scale geometric structures and more stochastic
		  texture components. Image inpainting concerns the problem
		  of reconstructing the intensity contents inside regions of
		  missing data. Common techniques for solving this problem
		  are methods based on variational calculus and based on
		  statistical methods. Variationalmethods are good at
		  reconstructing large scale geometric structures but have a
		  tendency to smooth away texture. On the contrary
		  statistical methods can reproduce texture faithfully but
		  fails to reconstruct large scale structures. In this paper
		  we use the well-known FRAME (Filters, Random Fields and
		  Maximum Entropy) for inpainting. We introduce a temperature
		  term in the learned FRAME Gibbs distribution. By sampling
		  using different temperature in the FRAME Gibbs
		  distribution, different contents of the image are
		  reconstructed. We propose a two step method for inpainting
		  using FRAME. First the geometric structure of the image is
		  reconstructed by sampling from a cooled Gibbs distribution,
		  then the stochastic component is reconstructed by sample
		  froma heated Gibbs distribution. Both steps in the
		  reconstruction process are necessary, and contribute in two
		  very different ways to the appearance of the
		  reconstruction.},
  project	= {VISIONTRAIN}
}

@InProceedings{	  gustavsson.pedersen.nielsen:07b,
  author	= {David Gustavsson and Kim Steenstrup Pedersen and Mads
		  Nielsen},
  title		= {Image Inpainting by Cooling and Heating},
  booktitle	= {Scandinavian Conference on Image Analysis ({SCIA} '07)},
  publisher	= {Springer Verlag},
  series	= {Lecture Notes in Computer Science},
  volume	= {4522},
  year		= {2007},
  pages		= {591--600},
  month		= jun,
  editor	= {Bjarne Ersb{\o}ll and Kim Steenstrup Pedersen},
  abstract	= {We discuss a method suitable for inpainting both large
		  scale geometric structures and stochastic texture
		  components. We use the well-known FRAME model for
		  inpainting. We introduce a temperature term in the learnt
		  FRAME Gibbs distribution. By using a fast cooling scheme a
		  MAP-like solution is found that can reconstruct the
		  geometric structure. In a second step a heating scheme is
		  used that reconstruct the stochastic texture. Both steps in
		  the reconstruction process are necessary, and contribute in
		  two very different ways to the appearance of the
		  reconstruction.},
  project	= {VISIONTRAIN}
}

@InProceedings{	  pedersen.dorst.ea:07,
  author	= {Kim Steenstrup Pedersen and Marco Loog and Pieter {van
		  Dorst}},
  title		= {Salient Point and Scale Detection by Minimum Likelihood},
  booktitle	= {JMLR: Workshop and Conference Proceedings: Gaussian
		  Processes in Practice},
  volume	= {1},
  pages		= {59--72},
  year		= {2007},
  project	= {NISA}
}

@InProceedings{	  pedersen.johansen:07,
  author	= {Kim Steenstrup Pedersen and Peter Johansen},
  title		= {A Curious Robot: An Explorative-Exploitive Inference
		  Algorithm},
  booktitle	= {Proceedings of Workshop of Robotics and Mathematics
		  (RoboMat 2007)},
  year		= {2007}
}

@InProceedings{	  pedersen.loog.ea:07,
  author	= {Kim Steenstrup Pedersen and Marco Loog and Bo Markussen},
  title		= {Generic Maximum Likely Scale Selection},
  booktitle	= {1st International Conference on Scale Space and
		  Variational Methods in Computer Vision},
  pages		= {362--373},
  publisher	= {Springer},
  volume	= {LNCS 4485},
  year		= {2007},
  series	= {Lecture Notes in Computer Science},
  project	= {NISA}
}

@InProceedings{	  keller.pedersen.ea:05,
  author	= {Sune H{\o}gild Keller and Kim Steenstrup Pedersen and
		  Fran\c{c}ois Lauze},
  title		= {Detecting Interlaced or Progressive Source of Video},
  booktitle	= {2005 IEEE Seventh Workshop on Multimedia Signal
		  Processing},
  year		= {2005},
  pages		= {181--184},
  publisher	= {IEEE}
}

@InProceedings{	  loog.pedersen.ea:05,
  author	= {Marco Loog and Kim Steenstrup Pedersen and Bo Markussen},
  title		= {Maximum likely scale estimation},
  booktitle	= {Conference on Deep Structure, Singularities and Computer
		  Vision},
  year		= {2005},
  editor	= {Ole Fogh Olsen and Luc Florack and A. Kuijper},
  volume	= {3753},
  pages		= {146--156},
  series	= {Lecture Notes in Computer Science},
  publisher	= {Springer Verlag}
}

@InProceedings{	  markussen.pedersen.loog:05,
  author	= {Bo Markussen and Kim Steenstrup Pedersen and Marco Loog},
  title		= {A scale invariant covariance structure on jet space},
  booktitle	= {Conference on Deep Structure, Singularities and Computer
		  Vision},
  year		= {2005},
  volume	= {3753},
  pages		= {12--23},
  editor	= {Ole Fogh Olsen and Luc Florack and A. Kuijper},
  series	= {Lecture Notes in Computer Science},
  publisher	= {Springer Verlag}
}

@InProceedings{	  pedersen.duits.ea:05,
  author	= {Kim Steenstrup Pedersen and Remco Duits and Mads Nielsen},
  title		= {On alpha Kernels, Levy Processes, and Natural Image
		  Statistics},
  booktitle	= {Proceedings of Scale Space 2005},
  year		= {2005},
  pages		= {468--479},
  publisher	= {Springer},
  series	= {Lecture Notes in Computer Science}
}

@InProceedings{	  lillholm.pedersen:04,
  author	= {Martin Lillholm and Kim Steenstrup Pedersen},
  title		= {Jet Based Classification},
  booktitle	= {International Conference on Pattern Recognition 2004},
  year		= {2004},
  pages		= {787--790}
}

@InProceedings{	  pedersen.lillholm:04,
  author	= {Kim Steenstrup Pedersen and Martin Lillholm},
  title		= {Brownian Images: A Generic Background Model},
  booktitle	= {Statistical Learning in Computer Vision, (ECCV 2004)},
  year		= {2004}
}

@InProceedings{	  pedersen:03b,
  author	= {Kim Steenstrup Pedersen},
  editor	= {L. Griffin and M. Lillholm},
  booktitle	= {Scale Space Methods in Computer Vision: Proceedings of the
		  4th Scale-Space conference},
  title		= {Properties of Brownian Image Models in Scale-Space},
  address	= {Isle of Skye, Scotland},
  pages		= {281--296},
  month		= jun,
  year		= {2003},
  series	= {Lecture Notes in Computer Science},
  volume	= {2695}
}

@InProceedings{	  pedersen.lee:02b,
  author	= {Kim Steenstrup Pedersen and Ann B. Lee},
  editor	= {A. Heyden and G. Sparr and Mads Nielsen and Peter
		  Johansen},
  booktitle	= {Proceedings of 7th European Conference on Computer
		  Vision},
  title		= {Toward a Full Probability Model of Edges in Natural
		  Images},
  publisher	= {Springer Verlag},
  address	= {Copenhagen, Denmark},
  month		= may,
  year		= {2002},
  pages		= {328--342},
  series	= {Lecture Notes in Computer Science},
  volume	= {2350}
}

@InProceedings{	  lee.pedersen.ea:01,
  author	= {Lee, Ann and Kim Steenstrup Pedersen and Mumford, David},
  title		= {The Complex Statistics of High-Contrast Patches in Natural
		  Images},
  booktitle	= {Proceedings of Second International IEEE Workshop on
		  Statistical and Computational Theories of Vision},
  address	= {Vancouver, Canada},
  year		= {2001},
  note		= {Web publication}
}

@InProceedings{	  pedersen.nielsen:01,
  author	= {Kim Steenstrup Pedersen and Mads Nielsen},
  editor	= {M. Kerckhove},
  booktitle	= {Scale-Space and Morphology in Computer Vision: Proceedings
		  of Scale-Space'01},
  title		= {Computing Optic Flow by Scale-Space Integration of Normal
		  Flow},
  publisher	= {Springer},
  pages		= {14--25},
  year		= {2001},
  series	= {Lecture Notes in Computer Science},
  volume	= {2106}
}

@InProceedings{	  pedersen.nielsen:99b,
  author	= {Kim Steenstrup Pedersen and Mads Nielsen},
  booktitle	= {Scale-Space Theory in Computer Vision: Scale-Space'99,
		  Proceedings},
  title		= {The Hausdorff Dimension and Scale-Space Normalisation of
		  Natural Images},
  publisher	= {Springer Verlag},
  year		= {1999},
  pages		= {271--282},
  series	= {Lecture Notes in Computer Science}
}