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 | 404 | 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 | 354 | 1997 |
Euclidean reconstruction from constant intrinsic parameters K Åström, A Heyden Int. Conf. Pattern Recognition 1, 339-343, 1996 | 292* | 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 | 211 | 2018 |
Solutions to minimal generalized relative pose problems MO HenrikStewénius, K Aström, D Nistér Citeseer, 2005 | 171 | 2005 |
Robust factorization H Aanæs, R Fisker, K Astrom, JM Carstensen IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1215-1225, 2002 | 153 | 2002 |
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 | 147 | 2020 |
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 | 139 | 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 | 129 | 1995 |
Conjugate gradient bundle adjustment M Byröd, K Åström Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 126 | 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 | 109 | 2000 |
Minimal conditions on intrinsic parameters for euclidean reconstruction A Heyden, K Åström Computer Vision—ACCV'98, 169-176, 1997 | 101 | 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 | 99 | 2009 |
Generalised epipolar constraints K Åström, R Cipolla, PJ Giblin Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996 | 91 | 1996 |
Flexible calibration: Minimal cases for auto-calibration A Heyden, K Astrom Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 89 | 1999 |
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 | 88 | 2013 |
Algebraic properties of multilinear constraints A Heyden, K Åström Mathematical Methods in the Applied Sciences 20 (13), 1135-1162, 1997 | 87 | 1997 |
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 | 86 | 2016 |
Fast optimal three view triangulation M Byröd, K Josephson, K Åström Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007 | 79 | 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 | 78 | 2015 |