Kalle Åström
Kalle Åström
Professor, Centre for Mathematical Sciences, Lund University, Sweden
Verified email at - Homepage
Cited by
Cited by
Revisiting the pnp problem: A fast, general and optimal solution
Y Zheng, Y Kuang, S Sugimoto, K Astrom, M Okutomi
Proceedings of the IEEE International Conference on Computer Vision, 2344-2351, 2013
Euclidean reconstruction from image sequences with varying and unknown focal length and principal point
A Heyden, K Astrom
Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997
Euclidean reconstruction from constant intrinsic parameters
K Åström, A Heyden
Int. Conf. Pattern Recognition 1, 339-343, 1996
Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges
B Piasecka, D Duffy, A Urrutia, H Quach, E Patin, C Posseme, J Bergstedt, ...
Proceedings of the National Academy of Sciences 115 (3), E488-E497, 2018
Solutions to minimal generalized relative pose problems
MO HenrikStewénius, K Aström, D Nistér
Citeseer, 2005
FLIP: A Difference Evaluator for Alternating Images.
P Andersson, J Nilsson, T Akenine-Möller, M Oskarsson, K Åström, ...
Proc. ACM Comput. Graph. Interact. Tech. 3 (2), 15:1-15:23, 2020
Robust factorization
H Aanæs, R Fisker, K Astrom, JM Carstensen
IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1215-1225, 2002
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
Motion from the frontier of curved surfaces
R Cipolla, KE Astrom, PJ Giblin
Proceedings of IEEE International Conference on Computer Vision, 269-275, 1995
Conjugate gradient bundle adjustment
M Byröd, K Åström
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
Critical motions for auto-calibration when some intrinsic parameters can vary
F Kahl, B Triggs, K Åström
Journal of Mathematical Imaging and Vision 13, 131-146, 2000
Minimal conditions on intrinsic parameters for euclidean reconstruction
A Heyden, K Åström
Computer Vision—ACCV'98, 169-176, 1997
Fast and stable polynomial equation solving and its application to computer vision
M Byröd, K Josephson, K Åström
International Journal of Computer Vision 84, 237-256, 2009
Generalised epipolar constraints
K Åström, R Cipolla, PJ Giblin
Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996
Flexible calibration: Minimal cases for auto-calibration
A Heyden, K Astrom
Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999
Algebraic properties of multilinear constraints
A Heyden, K Åström
Mathematical Methods in the Applied Sciences 20 (13), 1135-1162, 1997
A complete characterization and solution to the microphone position self-calibration problem
Y Kuang, S Burgess, A Torstensson, K Åström
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Towards grading gleason score using generically trained deep convolutional neural networks
H Källén, J Molin, A Heyden, C Lundström, K Åström
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016
Fast optimal three view triangulation
M Byröd, K Josephson, K Åström
Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007
Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique
M Nilsson, AH Herlin, H Ardö, O Guzhva, K Åström, C Bergsten
Animal 9 (11), 1859-1865, 2015
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