1 code implementation • 6 Sep 2023 • Ilayda Yaman, Guoda Tian, Erik Tegler, Jens Gulin, Nikhil Challa, Fredrik Tufvesson, Ove Edfors, Kalle Astrom, Steffen Malkowsky, Liang Liu
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms.
no code implementations • CVPR 2018 • Viktor Larsson, Magnus Oskarsson, Kalle Astrom, Alge Wallis, Zuzana Kukelova, Tomas Pajdla
In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases.
no code implementations • ICCV 2017 • Viktor Larsson, Kalle Astrom, Magnus Oskarsson
In this paper we present a new method for creating polynomial solvers for problems where a (possibly infinite) subset of the solutions are undesirable or uninteresting.
no code implementations • CVPR 2017 • Tobias Palmer, Kalle Astrom, Jan-Michael Frahm
There is a significant interest in scene reconstruction from underwater images given its utility for oceanic research and for recreational image manipulation.
no code implementations • CVPR 2017 • Viktor Larsson, Kalle Astrom, Magnus Oskarsson
In this paper we study the problem of automatically generating polynomial solvers for minimal problems.
1 code implementation • CVPR 2016 • Magnus Oskarsson, Kenneth Batstone, Kalle Astrom
In this paper we present a system for performing low rank matrix factorization.
1 code implementation • CVPR 2015 • Sebastian Haner, Kalle Astrom
This paper studies the problem of determining the absolute pose of a perspective camera observing a scene through a known refractive plane, the flat boundary between transparent media with different refractive indices.
no code implementations • CVPR 2015 • Fangyuan Jiang, Magnus Oskarsson, Kalle Astrom
Low-rank matrix factorization is an essential problem in many areas including computer vision, with applications in e. g. affine structure-from-motion, photometric stereo, and non-rigid structure from motion.
no code implementations • CVPR 2014 • Yubin Kuang, Yinqiang Zheng, Kalle Astrom
Algorithms for solving systems of polynomial equations are key components for solving geometry problems in computer vision.
no code implementations • CVPR 2014 • Yubin Kuang, Jan E. Solem, Fredrik Kahl, Kalle Astrom
In this paper, we study the problems of estimating relative pose between two cameras in the presence of radial distortion.