Magnus  Oskarsson
Magnus Oskarsson
professor of mathematics, Lund University
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TitleCited byYear
Solutions to minimal generalized relative pose problems
MO HenrikStewénius, K Aström, D Nistér
Branch-and-bound methods for euclidean registration problems
C Olsson, F Kahl, M Oskarsson
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5), 783-794, 2008
Adaptive enhancement and noise reduction in very low light-level video
H Malm, M Oskarsson, E Warrant, P Clarberg, J Hasselgren, C Lejdfors
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
Box jellyfish use terrestrial visual cues for navigation
A Garm, M Oskarsson, DE Nilsson
Current Biology 21 (9), 798-803, 2011
City-scale localization for cameras with known vertical direction
L Svärm, O Enqvist, F Kahl, M Oskarsson
IEEE transactions on pattern analysis and machine intelligence 39 (7), 1455-1461, 2016
Accurate Localization and Pose Estimation for Large 3D Models
L Svärm, O Enqvist, M Oskarsson, F Kahl
Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Solutions and ambiguities of the structure and motion problem for 1d retinal vision
K Åström, M Oskarsson
Journal of Mathematical Imaging and Vision 12 (2), 121-135, 2000
The registration problem revisited: Optimal solutions from points, lines and planes
C Olsson, F Kahl, M Oskarsson
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Optimal estimation of perspective camera pose
C Olsson, F Kahl, M Oskarsson
18th International Conference on Pattern Recognition (ICPR'06) 2, 5-8, 2006
C4 photosynthesis
EA Kellogg
Current Biology 23 (14), R594-R599, 2013
Structure and motion from lines under affine projections
K Astrom, A Heyden, F Kahl, M Oskarsson
Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999
Efficient solvers for minimal problems by syzygy-based reduction
V Larsson, K Astrom, M Oskarsson
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
A convex approach to low rank matrix approximation with missing data
C Olsson, M Oskarsson
Scandinavian Conference on Image Analysis, 301-309, 2009
Energy minimization methods in computer vision and pattern recognition
Y Boykov, V Kolmogorov
Springer Berlin/Heidelberg, 2001
The Remarkable Visual Abilities of Nocturnal Insects: Neural Principles and Bioinspired Night-Vision Algorithms
E Warrant, M Oskarsson, H Malm
Proceedings of the IEEE 102 (10), 1411 - 1426, 2014
Robust time-of-arrival self calibration and indoor localization using Wi-Fi round-trip time measurements
K Batstone, M Oskarsson, K Åström
2016 IEEE International Conference on Communications Workshops (ICC), 26-31, 2016
Minimal projective reconstruction for combinations of points and lines in three views
M Oskarsson, A Zisserman, K Åström
Image and Vision Computing 22 (10), 777-785, 2004
Linear osmosis models for visual computing
J Weickert, K Hagenburg, M Breuß, O Vogel
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
Improving robustness for inter-subject medical image registration using a feature-based approach
L Svärm, O Enqvist, F Kahl, M Oskarsson
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 824-828, 2015
On the minimal problems of low-rank matrix factorization
F Jiang, M Oskarsson, K Astrom
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
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