Publications for Michael Felsberg
Co-author map based on ISI articles 2007-

Keywords

system smoothing signal scheme robust representation recognition matching learning images image fourier estimation diffusion depth demonstrate color channel algorithm action

Journal Articles

Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg and Jorma Laaksonen
  Compact color–texture description for texture classification
  Pattern Recognition Letters, 2015, 51, 16-22.

Fahad Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg and Carlo Gatta
  Semantic Pyramids for Gender and Action Recognition
  IEEE Transactions on Image Processing, 2014, 23(8), 3633-3645.

Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer and Michael Felsberg
  Painting-91: a large scale database for computational painting categorization
  Machine Vision and Applications, 2014, 25(6), 1385-1397.

Fahad Shahbaz Khan, Muhammad Anwer Rao, Joost van de Weijer, Andrew Bagdanov, Antonio Lopez and Michael Felsberg
  Coloring Action Recognition in Still Images
  International Journal of Computer Vision, 2013, 105(3), 205-221.
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 Web of Science® Times Cited: 1

Vasileios Zografos, Reiner Lenz and Michael Felsberg
  The Weibull manifold in low-level image processing: an application to automatic image focusing.
  Image and Vision Computing, 2013, 31(5), 401-417.
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David Windridge, Michael Felsberg and Affan Shaukat
  A Framework for Hierarchical Perception–Action Learning Utilizing Fuzzy Reasoning
  IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, 2013, 43(1), 155-169.
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Michael Felsberg, Fredrik Larsson, Johan Wiklund, Niclas Wadströmer and Jörgen Ahlberg
  Online Learning of Correspondences between Images
  IEEE Transaction on Pattern Analysis and Machine Intelligence, 2013, 35(1), 118-129.
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Fredrik Larsson, Michael Felsberg and Per-Erik Forssen
  Correlating Fourier descriptors of local patches for road sign recognition
  IET Computer Vision, 2011, 5(4), 244-254.
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 Web of Science® Times Cited: 1

Michael Felsberg
  Autocorrelation-Driven Diffusion Filtering
  IEEE Transactions on Image Processing, 2011, 20(7), 1797-1806.
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 Web of Science® Times Cited: 5

Michael Felsberg, Johan Wiklund and Gösta Granlund
  Exploratory learning structures in artificial cognitive systems
  Image and Vision Computing, 2009, 27(11), 1671-1687.
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 Web of Science® Times Cited: 4

Erik Jonsson and Michael Felsberg
  Efficient computation of channel-coded feature maps through piecewise polynomials
  Image and Vision Computing, 2009, 27(11), 1688-1694.
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 Web of Science® Times Cited: 3

Fredrik Larsson, Erik Jonsson and Michael Felsberg
  Simultaneously learning to recognize and control a low-cost robotic arm
  Image and Vision Computing, 2009, 27(11), 1729-1739.
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 Web of Science® Times Cited: 3

Michael Felsberg, Sinan Kalkan and Norbert Krüger
  Continuous dimensionality characterization of image structures
  Image and Vision Computing, 2009, 27(6), 628-636.
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 Web of Science® Times Cited: 15

Michael Felsberg
  COSPAL -- A Study on Artificial Cognitive Systems
  Engineering & technology, 2008, 3(18), .

Remco Duits, Michael Felsberg, Gösta Granlund and Bart M. ter Haar Romeny
  Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group
  International journal of computer vision., 2007, 72(1), 79-102.
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 Web of Science® Times Cited: 12

Michael Felsberg and Johan Hedborg
  Real-Time View-Based Pose Recognition and Interpolation for Tracking Initialization
  Journal of Real-Time Image Processing, 2007, 2(2-3), 103-115.
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 Web of Science® Times Cited: 2

Jigna Chandaria, Graham Thomas, Bogumil Bartczak, Reinhard Koch, Mario Becker, Gabriele Bleser, Didier Stricker, Cedric Wohlleber, Fredrik Gustafsson, Michael Felsberg, Jeroen Hol, Thomas Schön, Johan Skoglund, Per Slycke and Sebastiaan Smeitz
  Real-Time Camera Tracking in the MATRIS Project
  Smpte Journal, 2007, 116(7-8), 266-271.
 Web of Science® Times Cited: 3

Michael Felsberg, P.-E. Forssen and H. Scharr
  Channel smoothing: Efficient robust smoothing of low-level signal features
  IEEE Transaction on Pattern Analysis and Machine Intelligence, 2006, 28(2), 209-222.
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 Web of Science® Times Cited: 30

Michael Felsberg, R. Duits and L. Florack
  The Monogenic Scale Space on a Rectangular Domain and its Features
  International journal of computer vision., 2005, 64(2--3), .
 Web of Science® Times Cited: 2

N. Kruger and Michael Felsberg
  An explicit and compact coding of geometric and structural image information applied to stereo processing
  Pattern Recognition Letters, 2004, 25(8), 849-863.
 Web of Science® Times Cited: 14

Michael Felsberg and Gerald Sommer
  The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space
  Journal of Mathematical Imaging and Vision, 2004, 21, .
 Web of Science® Times Cited: 68

Michael Felsberg and Gerald Sommer
  The monogenic signal
  IEEE Transactions on Signal Processing, 2001, 49(12), 3136-3144.
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Chapters in Books

Kristoffer Öfjäll and Michael Felsberg
  Online Learning of Vision-Based Robot Control during Autonomous Operation
  New Development in Robot Vision, Springer, 2014, .


Michael Felsberg
  Adaptive Filtering using Channel Representations
  Mathematical Methods for Signal and Image Analysis and Representation, Springer London, 2012, 31-48.


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Fredrik Larsson and Michael Felsberg
  Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
  Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings, Springer Berlin/Heidelberg, 2011, 238-249.


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Michael Felsberg
  Incremental computation of feature hierarchies
  Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings, Springer Berlin/Heidelberg, 2010, 523-532.


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Michael Felsberg
  Spatio-featural scale-space
  Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings, Springer Berlin/Heidelberg, 2009, 808-819.


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Michael Felsberg
  On the Relation Between Anisotropic Diffusion and Iterated Adaptive Filtering
  Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 Proceedings, Springer Berlin/Heidelberg, 2008, 436-445.


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Erik Jonsson and Michael Felsberg
  Accurate Interpolation in Appearance-Based Pose Estimation
  Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007, Springer Berlin/Heidelberg, 2007, 1-10.


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Johan Skoglund and Michael Felsberg
  Covariance estimation for SAD block matching
  Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007, Springer Berlin/Heidelberg, 2007, 374-382.


Conference Articles

Kristoffer Öfjäll and Michael Felsberg
  Biologically Inspired Online Learning of Visual Autonomous Driving
  Proceedings of the British Machine Vision Conference 2014, September 1-5, Nottingham, UK, 2014.


Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg and Joost van de Weijer
  Adaptive Color Attributes for Real-Time Visual Tracking
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014, 2014.


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Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg and Hanno Scharr
  Using Channel Representations in Regularization Terms: A Case Study on Image Diffusion
  In Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014.


Johan Hedborg, Andreas Robinson and Michael Felsberg
  Robust Three-View Triangulation Done Fast
  Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014, 2014.


Fahad Shahbaz Khan, joost Van de Weijer, Sadiq Ali and Michael Felsberg
  Evaluating the Impact of Color on Texture Recognition
  Computer Analysis of Images and Patterns: 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I, 2013.


Michael Felsberg
  Enhanced Distribution Field Tracking using Channel Representations
  Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), 2013, 2013.


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Bertil Grelsson and Michael Felsberg
  Probabilistic Hough Voting for Attitude Estimation from Aerial Fisheye Images
  Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings, 2013.


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Philipp Koschorrek, Tommaso Piccini, Per Öberg, Michael Felsberg, Lars Nielsen and Rudolf Mester
  A multi-sensor traffic scene dataset with omnidirectional video
  IEEE Conference on Computer Vision and Patter Recognition : Workshop on Ground Truth, June 28, 2013, Portland, U.S.A., 2013.


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Johan Hedborg and Michael Felsberg
  Fast Iterative Five point Relative Pose Estimation
  IEEE Workshop on Robot Vision (WoRV 2013), January 15-17, 2013, Clearwater, FL, USA, 2013.


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Freddie Åström, Vasileios Zografos and Michael Felsberg
  Density Driven Diffusion
  18th Scandinavian Conferences on Image Analysis, 2013, 2013.


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Freddie Åström, Michael Felsberg, George Baravdish and Claes Lundström
  Targeted Iterative Filtering
  Fourth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2013), 2-6 June 2013, Schloss Seggau, Graz region, Austria, 2013.


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Bertil Grelsson, Michael Felsberg and Folke Isaksson
  Efficient 7D Aerial Pose Estimation
  2013 IEEE Workshop on Robot Vision (WORV), 2013.


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Kristoffer Öfjäll and Felsberg Michael
  Rapid Explorative Direct Inverse Kinematics Learning of Relevant Locations for Active Vision
  IEEE Workshop on Robot Vision(WORV) 2013, 2013.


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Liam Ellis, Nicolas Pugeault, Kristoffer Öfjäll, Johan Hedborg, Richard Bowden and Michael Felsberg
  Autonomous Navigation and Sign Detector Learning
  IEEE Workshop on Robot Vision(WORV) 2013, 2013.


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Johan Hedborg, Per-Erik Forssén, Michael Felsberg and Erik Ringaby
  Rolling Shutter Bundle Adjustment
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, 2012.


 Web of Science® Times Cited: 6

Kristoffer Öfjäll and Michael Felsberg
  Combining Vision, Machine Learning and Automatic Control to Play the Labyrinth Game
  Proceedings of SSBA, Swedish Symposium on Image Analysis, 2012, 2012.


Freddie Åström, George Baravdish and Michael Felsberg
  On Tensor-Based PDEs and their Corresponding Variational Formulations with Application to Color Image Denoising
  ECCV 2012: 12th European Conference on Computer Vision, 7-12 October, Firenze, Italy, 2012.


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Johan Hedborg, Erik Ringaby, Per-Erik Forssén and Michael Felsberg
  Structure and Motion Estimation from Rolling Shutter Video
  IEEE International Conference onComputer Vision Workshops (ICCV Workshops), 2011, 2011.


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Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén and Babette Dellen
  Leaf Segmentation using the Kinect
  Proceedings of SSBA 2011 Symposium on Image Analysis, 2011.


Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén and Babette Dellen
  Channel Coding for Joint Colour and Depth Segmentation
  Proceedings of  Pattern Recognition 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011.


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Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön and Michael Felsberg
  Bicycle Tracking Using Ellipse Extraction
  Proceedings of the 14thInternational Conference on Information Fusion, 2011, 2011.


Andreas Krebs, Johan Wiklund and Michael Felsberg
  Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals
  Pattern Recognition: 33rd annual DAGM conference, Frankfurt, Germany, 2011.


Åström Freddie, Felsberg Michael and Lenz Reiner
  Color Persistent Anisotropic Diffusion of Images
  Image Analysis, 2011.


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Liam Ellis, Michael Felsberg and Richard Bowden
  Affordance mining: Forming perception through action
  ACCV 2010, 2010.


 Web of Science® Times Cited: 1  Fulltext PDF

Michael Felsberg and Fredrik Larsson
  Learning object tracking in image sequences
  International Conference on Cognitive Systems, 2010.


Michael Felsberg, Fredrik Larsson, Han Wang, Anders Ynnerman and Thomas Schön
  Torchlight Navigation
  Proceedings of the 20th International Conferenceon Pattern Recognition, 2010.


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Michael Felsberg, Fredrik Larsson, Wang Han, Anders Ynnerman and Thomas Schön
  Torch Guided Navigation
  Proceedings of the 2010 SSBA Symposium, 2010.


Michael Felsberg
  Efficient Computation of Feature Hierarchies using Framelets
  Inverse Problems and Applications, 2010.


Johan Wiklund, Klas Nordberg and Michael Felsberg
  Software architecture and middleware for artificial cognitive systems
  International Conference on Cognitive Systems, 2010.


Johan Hedborg and Michael Felsberg
  Fast and Robust Relative Pose Estimation for Forward and Sideways Motions
  SSBA, 2010.


Michael Felsberg, Affan Shaukat and David Windridge
  Online Learning in Perception-Action Systems
  ECCV 2010 Workshop on Vision for Cognitive Tasks, 2010.


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Alain Pagani, Didier Stricker and Michael Felsberg
  Integral P-channels for fast and robust region matching
   Image Processing (ICIP), 2009 16th IEEE International Conference, 2009.


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Michael Felsberg
  Spatio-featural scale-space
  Swedish Symposium on Image Analysis - SSBA'2009, 18-20 March, Halmstad, Sweden, 2009.


Michael Felsberg and Fredrik Larsson
  Learning Higher-Order Markov Models for ObjectTracking in Image Sequences
  Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II, 2009.


 Web of Science® Times Cited: 2  Fulltext PDF

Fredrik Larsson, Michael Felsberg and Per-Erik Forssén
  Patch Contour Matching by Correlating Fourier Descriptors
  Digital Image Computing: Techniques and Applications (DICTA), 2009.


 Web of Science® Times Cited: 3  Fulltext PDF

Johan Hedborg, Per-Erik Forssén and Michael Felsberg
  Fast and Accurate Structure and Motion Estimation
  International Symposium on Visual Computing, 2009.


 Web of Science® Times Cited: 2  Fulltext PDF

Fredrik Larsson, Per-Erik Forssén and Michael Felsberg
  Using Fourier descriptors for local region matching
  SSBA, 2009.


Fredrik Larsson, Erik Jonsson and Michael Felsberg
  Learning Floppy Robot Control
  SSBA,2008, 2008.


Michael Felsberg and Gösta Granlund
  Fusing Dynamic Percepts and Symbols in Cognitive Systems
  International Conference on Cognitive Systems, 2008.


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Michael Felsberg and Fredrik Larsson
  Learning Bayesian tracking for motion estimation
  ECCV Workshop: Machine Learning for Vision-based Motion Analysis, 2008.


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Michael Felsberg
  On Second Order Operators and Quadratic Operators
  Proceedings - International Conference on Pattern Recognition, 2008.


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Michael Felsberg
  A Novel two-step Method for CT Reconstruction
  Bildverarbeitung für die Medizin, 2008.


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Erik Jonsson and Michael Felsberg
  Accurate Interpolation in Appearance-Based Pose Estimation
  Svenska Sällskapet för Automatiserad Bildanalys SSBA Symposium,2007, 2007.


Michael Felsberg
  Extending Graph-Cut to Continuous Value Domain Minimization
  SSBA,2007, 2007.


Fredrik Larsson, Erik Jonsson and Michael Felsberg
  Visual Servoing Based on Learned Inverse Kinematics
  SSBA,2007, 2007.


Michael Felsberg, Johan Wiklund, Erik Jonsson, Anders Moe and Gösta Granlund
  Exploratory Learning Strucutre in Artificial Cognitive Systems
  International Cognitive Vision Workshop, 2007.


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Jan-Erik Källhammer, Dick Eriksson, Gösta Granlund, Michael Felsberg, Anders Moe, Björn Johansson, Johan Wiklund and Per-Erik Forssén
  Near Zone Pedestrian Detection using a Low-Resolution FIR Sensor
  Intelligent Vehicles Symposium, 2007 IEEE, 2007.


Fredrik Larsson, Erik Jonsson and Michael Felsberg
  Visual Servoing for Floppy Robots using LWPR
  RoboMat,2007, 2007.


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Michael Felsberg
  Extending Graph-Cut to Continuous Value Domain Minimization
  Canadian Conference on Computer and Robot Vision,2007, 2007.


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Michael Felsberg and Johan Hedborg
  Real-Time Visual Recognition of Objects and Scenes Using P-Channel Matching
  Proceedings 15th Scandinavian Conference on Image Analysis, 2007.


 Web of Science® Times Cited: 1  Fulltext PDF

Johan Hedborg, Johan Skoglund and Michael Felsberg
  KLT Tracking Implementation on the GPU
  Proceedings SSBA 2007, 2007.


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Michael Felsberg
  Optical flow estimation from monogenic phase.
  International Workshop on Complex Motion,2004, 2006.


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Erik Jonsson and Michael Felsberg
  Soft Histograms for Belief Propagation
  ECCV Workhop of the Representation and Use of Prior Knowledge in Vision,2006, 2006.


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Erik Jonsson and Michael Felsberg
  Correspondence-Free Associative Learning
  ICPR,2006, 2006.


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Michael Felsberg and Gösta Granlund
  P-Channels: Robust Multivariate M-Estimation of Large Datasets
  ICPR,2006, 2006.


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Johan Skoglund and Michael Felsberg
  Evaluation of Subpixel Tracking Algorithms
  International Symposium on Visual Computing,2006, 2006.


Michael Felsberg and Ullrich Köthe
  GET: The connection between monogenic scale-space and Gaussian derivatives
  Scale Space and PDE Methods in Computer Vision, 2005.


 Web of Science® Times Cited: 11

Ullrich Köthe and Michael Felsberg
  Riesz-transforms versus derivatives: On the relationship between the boundary tensor and the energy tensor
  Scale Space and PDE Methods in Computer Vision, 2005.


 Web of Science® Times Cited: 14

Erik Jonsson and Michael Felsberg
  Reconstruction of probability density functions from channel representations
  Scandinavian Conference on Image Analysis, 2005.


 Web of Science® Times Cited: 1

Michael Felsberg and Erik Jonsson
  Energy Tensors: Quadratic, Phase Invariant Image Operators
  Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005. Proceedings, 2005.


 Web of Science® Times Cited: 7  Fulltext PDF

Michael Felsberg
  Wiener channel smoothing: Robust Wiener filtering of images
  Pattern Recognition, 2005.


 Web of Science® Times Cited: 2

Johan Skoglund and Michael Felsberg
  Fast Image Processing Using SSE2
  Fast Image Processing Using SSE2,2005, 2005.


Erik Jonsson and Michael Felsberg
  Efficient Robust Mean Value Computation of 1D Features
  Efficient Robust Mean Value Computation of 1D Features,2005, 2005.


Michael Felsberg and Erik Jonsson
  Reconstruction of Probability Density Functions from Channel Representations
  Reconstruction of Probability Density Functions from Channel Representations,2005, 2005.


Michael Felsberg, Per-Erik Forssén, Anders Moe and Gösta Granlund
  A COSPAL Subsystem: Solving a Shape-Sorter Puzzle
  AAAI Fall Symposium: From Reactive to Anticipatory Cognitive Embedded Systems, FS-05-05, 2005.


Michael Felsberg and Gösta Granlund
  POI detection using channel clustering and the 2D energy tensor
  Proceedings of Pattern Recognition, 26th DAGM Symposium, 2004.


 Web of Science® Times Cited: 10

Norbert Krüger, Michael Felsberg and Florentin Wörgötter
  Processing Multi-modal Primitives from Image Sequences
  EIS2004,2004, 2004.


Sinan Kalkan, D. Calow, Michael Felsberg, Florentin Wörgötter, M. Lappe and Norbert Krüger
  Optic Flow Statistics and Intrinsic Dimensionality
  BICS2004,2004, 2004.


Michael Felsberg
  On the Design of Two-Dimensional Polar Separable Filters
  EUSIPCO2004,2004, 2004.


Michael Felsberg, R Duits and L Florack
  The monogenic scale space on a bounded domain and its applications
  Scale Spac ´03, Eds Griffin, L. D. and Lillholm, M, 2003.


 Web of Science® Times Cited: 2

Hanno Scharr, Michael Felsberg and Per-Erik Forssén
  Noise Adaptive Channel Smoothing of Low-Dose Images
  Computer Vision for the Nano-Scale Workshop accompanying CVPR 2003,2003, 2003.


Michael Felsberg and Gösta Granlund
  Anisotropic Channel Filtering
  SCIA: Gothenburg, Sweden, 2003.


 Web of Science® Times Cited: 6

Michael Felsberg and Norbert Kruger
  A Probabilistic Definition of Intrinsic Dimensionality for Images
  25. DAGM Symposium Mustererkennung, Magdeburg eds Michaelis, B. and Krell, G., 2003.


Norbert Kruger and Michael Felsberg
  A continuous Formulation of intrinsic Dimension
  British Machine Vision Conference, 2003.


Remco Duits, Michael Felsberg, Luc Florack and Bram Platel
  α Scale Spaces on a Bounded Domain
  Scale Space Methods in Computer Vision, 2003.


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Michael Felsberg
  Disparity from monogenic phase
  DAGM Symposium Mustererkennung, Zurich, 2002.


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Michael Felsberg and Gerald Sommer
  Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
  Computer Vision - ECCV 2002 eds A. Heyden and G. Sparr and M. Nielsen and P. Johansen, 2002.


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Norbert Kruger, Michael Felsberg, Christian Gebken and Martin Pörksen
  An Explicit and Compact Coding of Geometric and Structural Information Applied to Stereo Processing
  Vision, Modeling, and Visualization: Erlangen, 2002.


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Ph.D. Theses

Johan Hedborg
  Motion and Structure Estimation From Video
  2012.


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Fredrik Larsson
  Shape Based Recognition – Cognitive Vision Systems in Traffic Safety Applications
  2011.


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Johan Sunnegårdh
  Iterative Filtered Backprojection Methods for Helical Cone-Beam CT
  2009.


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Erik Jonsson
  Channel-Coded Feature Maps for Computer Vision and Machine Learning
  2008.


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Licentiate Theses

Kristoffer Öfjäll
  Online Learning for Robot Vision
  2014.


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Bertil Grelsson
  Global Pose Estimation from Aerial Images: Registration with Elevation Models
  2014.


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Freddie Åström
  A Variational Approach to Image Diffusion in Non-Linear Domains
  2013.


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Johan Hedborg
  Pose Estimation and Structure Analysisof Image Sequences
  2009.


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Fredrik Larsson
  Methods for Visually Guided Robotic Systems: Matching, Tracking and Servoing
  2009.


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Johan Skoglund
  Robust Real-Time Estimation of Region Displacements in Video Sequences
  2007.


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Reports

Michael Felsberg, Johan Wiklund, Erik Jonsson, Anders Moe and Gösta Granlund
  Exploratory Learning Structure in Artificial Cognitive Systems
  LiTH-ISY-R, 2738, 2006.


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Erik Jonsson, Michael Felsberg and Gösta Granlund
  Incremental Associative Learning
  LiTH-ISY-R, 2691, 2005.


Michael Felsberg
  The GET Operator
  LiTH-ISY-R, 2633, 2004.


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Michael Felsberg, Per-Erik Forssen and Hanno Scharr
  Efficient Robust Smoothing of Low-Level Signal Features
  LiTH-ISY-R, 2619, 2004.


Michael Felsberg, Per-Erik Forssen and Hanno Scharr
  B-Spline Channel Smoothing for Robust Estimation
  LiTH-ISY-R, 2579, 2004.


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Michael Felsberg, Hanno Scharr and Per-Erik Forssén
  B-spline channel smoothing for robust estimation
  LiTH-ISY-R, 2579, 2004.


Michael Felsberg and Norbert Kruger
  A Probabilistic Definition of Intrinsic Dimensionality for Images
  LiTH-ISY-R, 2520, 2003.


Michael Felsberg, Hanno Scharr and Per-Erik Forssen
  The B-Spline Channel Representation: Channel Algebra and Channel Based Diffusion Filtering
  LiTH-ISY-R, 2461, 2002.


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Michael Felsberg and Gerald Sommer
  The Poisson Scale-Space: A Unified Approach to Phase-Based Image Processing in Scale-Space
  LiTH-ISY-R, 2453, 2002.