I received my PhD degree at the Computational Vision and Active Perception Laboratory (CVAP) in 2002. I work as an associate professor and director of studies in computer science at (CSC).
A CUDA implementation of SIFT:
If you are interested in a CUDA implementation of Lowe's Scale Invariant
Feature Transform (SIFT) you can find one here;
cudaSIFT.tar.gz. On a GeForce 8800 GTS graphics board SIFT features are
extracted
from a VGA image at a computational cost of about 15-20 ms, depending on
the number of features. That is about 10x faster than my own SSE assembly
implementation of the same method. CUDA is an C-like API from
NVIDIA that facilitates
implementation of General Purpose algorithms for GPUs.
Publications:
M. Björkman and D. Kragic,
``Active 3D Segmentation through Fixation of Previously Unseen Objects'',
in British Machine Vision Conference (BMVC), Aberystwyth, UK, September 2010.
(pdf)
J. Bohg, M. Johnson-Roberson, M. Björkman and D. Kragic,
``Strategies for Multi-Modal Scene Exploration'',
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '10), Taipei, Taiwan, October 2010.
(pdf)
M. Johnson-Roberson, J. Bohg, M. Björkman and D. Kragic,
``Attention based Active 3D Point Cloud Segmentation'',
in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '10), Taipei, Taiwan, October 2010.
(pdf)
X. Gratal, J. Bohg, M. Björkman and D. Kragic,
``Scene Representation and Object Grasping Using Active Vision''
in IROS'10 Workshop on Defining and Solving Realistic Perception Problems in Personal Robotics, Taipei, Taiwan, 2010.
(pdf)
M. Björkman, D. Kragic,
``Active 3D scene segmentation and detection of unknown objects'',
in IEEE International Conference on Robotics and Automation, Anchorage, USA, 2010. (pdf)
B. Rasolzadeh, M. Björkman, K. Huebner, D. Kragic,
``An active vision system for detecting, fixating and manipulating objects in real world'',
International Journal of Robotics Research, Volume 29, Number 2-3, 2010. (pdf)
K. Huebner, M. Björkman, B. Rasolzadeh, M. Schmidt and D. Kragic,
``Integration of Visual and Shape Attributes for Object Action Complexes'',
in International Conference on Computer Vision Systems, ICVS'08, pp. 13-22, Santorini, Greece, May 2008. (pdf)
M. Björkman and J-O. Eklundh,
``Vision in the Real World: Finding, Attending and Recognizing Objects'',
International Journal of Imaging Systems and Technology, 16(5), pp. 189-209, 2006.
(pdf)
P. Jensfelt, D. Kragic, J. Folkesson and M. Björkman,
``A Framework for Vision Based Bearing Only 3D SLAM'',
in IEEE International Conference on Robotics and Automation, ICRA'06, Orlando, USA, pp. 1944-1950, May 2006.
(pdf)
B. Rasolzadeh, M. Björkman and J-O. Eklundh,
``An attentional system combining top-down and bottom-up influences'',
International Cognitive Vision Workshop (ICVW), ECCV'06, 2006.
(pdf)
A. Tavakoli Targhi, M. Björkman and E. Hayman,
``Real-time texture detection using the LU-transform'',
Workshop on Computation Intensive Methods for Computer Vision (CIMCV), ECCV'06, 2006.
(pdf)
D. Kragic and M. Björkman,
``Strategies for object manipulation using foveal and peripheral vision'',
in International Conference on Computer Vision Systems, ICVS'06,
New York, USA, 2006.
(pdf)
M. Björkman and J-O. Eklundh,
``Foveated Figure-Ground Segmentation and Its Role in Recognition'',
British Machine Vision Conference, Sep 2005.
(pdf)
D. Kragic, M. Björkman, H.I. Christensen and J-O. Eklundh,
``Vision for Robotic Object Manipulation in Domestic Settings'',
Robotics and Autonomous Systems, Volume 52, Issue 1, pp. 85-100, July 2005.
(pdf)
J-O. Eklundh and M. Björkman,
``Recognition of Objects in the Real World from a Systems Perspective'',
Kuenstliche Intelligenz, 19(2), pp. 12-17, 2005.
(pdf)
M. Björkman and J-O. Eklundh,
``Attending, Foveating and Recognizing Objects in Real World Scenes'',
British Machine Vision Conference, Sep 2004.
(pdf)
D. Kragic, M. Björkman H.I. Christensen and J-O. Eklundh,
``Issues and Strategies for Robotic Object Manipulation in Domestic Settings'',
Workshop on Advances in Robot Vision: From Domestic Environments to Medical
Applications, IROS'04, 2004.
(pdf)
M. Björkman and D. Kragic,
``Combination of Foveal and Peripheral Vision for Object Recognition
and Pose Estimation'',
International Conference on Robotics and Automation, Apr 2004.
(pdf)
M. Björkman,
``Real-Time Motion and Stereo Cues for Active Visual Observers'',
doctoral dissertation, ISRN KTH/NA/P--02/13--SE, NADA,
Royal Institute of Technology, Jun 2002.
(pdf)
M. Björkman and J-O. Eklundh,
``Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads'',
IEEE Trans. Pattern Analysis and Machine Intelligence 24(3), pp. 425-432,
Mar 2002. (postscript)
M. Björkman and J-O. Eklundh,
``Visual Cues for a Fixating Active Agent'',
in Proc. Robot Vision 2001, (Auckland, New Zealand), Feb 2001.
(postscript)
M. Björkman and J-O. Eklundh,
``A Real-Time System for Epipolar Geometry and Ego-Motion
Estimation'',
in Proc. IEEE Computer Vision
and Pattern Recognition, vol. 2, (Hilton Head, SC),
pp. 506--513, Jun 2000.
(postscript)
M. Björkman and J-O. Eklundh,
``Dynamic Fixation in an Active Visual Agent'',
Tech. Report ISRN KTH/NA/P-00/09-SE, NADA,
Royal Institute of Technology, Mar 2000.
(postscript)
M. Björkman and J-O. Eklundh,
``Real-Time Epipolar Geometry Estimation and Disparity'',
in Proc. International Conference on Computer Vision, (Kerkyra,
Greece), pp. 234--141, Sep 1999.
(postscript)
F. Dahlgren, P. Stenström and M. Björkman,
``Reducing the Read-Miss Penalty for Flat COMA Protocols'',
The Computer Journal 40(4), pp. 208-219, 1997.
(postscript)
M. Björkman, F. Dahlgren and P. Stenström,
``Using Hints to Reduce the Read Miss Penalty for Flat COMA Protocols'',
in Proc. of the 28th Hawaii International Conference on System Sciences,
pp. 242-251, 1995.
(postscript)
/ Celebrandil of Phenomena (ex-Fairlight, ex-North Star)