Travelled to:1 × Austria
1 × China
1 × Japan
1 × Spain
1 × Sweden
1 × Turkey
1 × USA
2 × United Kingdom
Collaborated with:A.Heyden Y.Kuang A.P.Eriksson J.Karlsson M.Oskarsson S.Burgess ∅ A.Torstensson E.Ask P.Nyman A.Ericsson A.Tegen R.Weegar L.Hammarlund F.Jiang D.Medved P.Nugues
Talks about:use (4) imag (3) stochast (2) analysi (2) detect (2) scale (2) multi (2) model (2) estim (2) multidimension (1)
Person: Kalle Åström
DBLP: =Aring=str=ouml=m:Kalle
Contributed to:
201420122010200820062004200420001996Wrote 15 papers:
- ICPR-2014-KuangOA #estimation #using
- Revisiting Trifocal Tensor Estimation Using Lines (YK, MO, KÅ), pp. 2419–2423.
- ICPR-2014-OskarssonAT #graph #multi #scalability
- Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, KÅ, AT), pp. 750–755.
- ICPR-2014-TegenWHOJMNA #image #segmentation #semantics #using
- Image Segmentation and Labeling Using Free-Form Semantic Annotation (AT, RW, LH, MO, FJ, DM, PN, KÅ), pp. 2281–2286.
- ICPR-2012-AskKA #equation #performance #polynomial #symmetry
- Exploiting p-fold symmetries for faster polynomial equation solving (EA, YK, KÅ), pp. 3232–3235.
- ICPR-2012-BurgessKA #locality #network
- Node localization in unsynchronized time of arrival sensor networks (SB, YK, KÅ), pp. 2042–2046.
- ICPR-2012-BurgessKA12a #estimation
- Pose estimation from minimal dual-receiver configurations (SB, YK, KÅ), pp. 2553–2556.
- ICPR-2010-NymanHA #constraints #framework #multi #platform #using
- Multi-camera Platform Calibration Using Multi-linear Constraints (PN, AH, KÅ), pp. 53–56.
- ICPR-2008-KarlssonA #image
- MDL patch correspondences on unlabeled images (JK, KÅ), pp. 1–5.
- ICPR-v3-2006-ErikssonA #image #using
- Bijective Image Registration using Thin-Plate Splines. (APE, KÅ), pp. 798–801.
- ICPR-v3-2004-ErikssonA #detection #robust
- Robustness and Specificity in Object Detection (APE, KÅ), pp. 87–90.
- ICPR-v4-2004-KarlssonEA #invariant #modelling #statistics
- Parameterisation Invariant Statistical Shape Models (JK, AE, KÅ), pp. 23–26.
- ICPR-v1-2000-Astrom #multi
- Multiple View Vision (KÅ), pp. 1059–1066.
- ICPR-1996-AstromH #analysis #detection #modelling #probability
- Stochastic modelling and analysis of sub-pixel edge detection (KÅ, AH), pp. 86–90.
- ICPR-1996-AstromH96a #analysis #probability
- Stochastic analysis of scale-space smoothing (KÅ, AH), pp. 305–309.
- ICPR-1996-HeydenA #constant #parametricity #re-engineering
- Euclidean reconstruction from constant intrinsic parameters (AH, KÅ), pp. 339–343.