Carl Olsson

Senior Researcher at Signal Processing and Biomedical Engineering

Carl Olsson is a senior researcher in the Image Analysis and Computer Vision group lead by Prof. Fredrik Kahl. I his research he focuses on 3D reconstruction from images. Given a number of images of an object or scene the goal is get a computer to automatically create a 3D model of the scene as well as determine the camera placements when the images where captured. This technology is for example useful for autonomous vehicles that need to build maps to navigate their environment.

Source: chalmers.se
Image of Carl Olsson

Showing 20 publications

2022

On the Tightness of Semidefinite Relaxations for Rotation Estimation

Lucas Brynte, Viktor Larsson, José Pedro Lopes Iglesias et al
Journal of Mathematical Imaging and Vision. Vol. 64 (1), p. 57-67
Journal article
2022

Bias Versus Non-Convexity in Compressed Sensing

Daniele Gerosa, Marcus Carlsson, Carl Olsson
Journal of Mathematical Imaging and Vision. Vol. In Press
Journal article
2021

Relaxations for Non-Separable Cardinality/Rank Penalties

Carl Olsson, Daniele Gerosa, Marcus Carlsson
Proceedings of the IEEE International Conference on Computer Vision. Vol. 2021-October, p. 162-171
Paper in proceeding
2021

A quasiconvex formulation for radial cameras

Carl Olsson, Viktor Larsson, Fredrik Kahl
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 14571-14580
Paper in proceeding
2021

Radial Distortion Invariant Factorization for Structure from Motion

José Pedro Lopes Iglesias, Carl Olsson
Proceedings of the IEEE International Conference on Computer Vision, p. 5886-5895
Paper in proceeding
2021

Parameterization of Ambiguity in Monocular Depth Prediction

Patrik Persson, Linn Ostrom, Carl Olsson et al
Proceedings - 2021 International Conference on 3D Vision, 3DV 2021, p. 761-770
Paper in proceeding
2021

Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality

Anders Eriksson, Carl Olsson, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 43 (1), p. 256-268
Journal article
2021

Bilinear Parameterization for Non-Separable Singular Value Penalties

Marcus Valtonen Örnhag, José Pedro Lopes Iglesias, Carl Olsson
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 3896-3905
Paper in proceeding
2020

Differentiable Fixed-Rank Regularisation using Bilinear Parameterization

Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden
30th British Machine Vision Conference 2019, BMVC 2019
Paper in proceeding
2020

A Unified Optimization Framework for Low-Rank Inducing Penalties

Marcus Valtonen Örnhag, Carl Olsson
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 8471-8480
Paper in proceeding
2020

Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion

José Pedro Lopes Iglesias, Carl Olsson, Marcus Valtonen Örnhag
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12372, p. 21-37
Paper in proceeding
2020

Bilinear parameterization for differentiable rank-regularization

Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Vol. 2020-June, p. 1416-1425
Paper in proceeding
2020

Global Optimality for Point Set Registration Using Semidefinite Programming

José Pedro Lopes Iglesias, Carl Olsson, Fredrik Kahl
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2020, p. 8284-8292
Paper in proceeding
2020

An unbiased approach to compressed sensing

Marcus Carlsson, Daniele Gerosa, Carl Olsson
Inverse Problems. Vol. 36 (11)
Journal article
2019

Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models

Erik Bylow, Robert Maier, Fredrik Kahl et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11482 LNCS, p. 261-274
Paper in proceeding
2018

Rotation Averaging and Strong Duality

Anders Eriksson, Carl Olsson, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 127-135
Paper in proceeding
2017

Long-term 3D Localization and Pose from Semantic Labellings

Carl Toft, Carl Olsson, Fredrik Kahl
IEEE International Conference on Computer Vision Workshops, p. 650-659
Paper in proceeding
2017

Compact Matrix Factorization with Dependent Subspaces

Viktor Larsson, Carl Olsson
30th IEEE Conference on Computer Vision and Pattern Recognition, p. 4361-4370
Paper in proceeding
2017

Non-convex Rank/Sparsity Regularization and Local Minima

Carl Olsson, Marcus Carlsson, Fredrik Andersson et al
Proceedings of the IEEE International Conference on Computer Vision. Vol. 2017-October, p. 332-340
Paper in proceeding
2017

A Non-Convex Relaxation for Fixed-Rank Approximation

Carl Olsson, Marcus Carlsson, Erik Bylow
IEEE International Conference on Computer Vision Workshops, p. 1809-1817
Paper in proceeding

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Showing 3 research projects

2020–

Learning and Leveraging Rich Priors for Factorization Problems

Christopher Zach Imaging and Image Analysis
Carl Olsson Imaging and Image Analysis
Wallenberg AI, Autonomous Systems and Software Program

2019–2022

Optimization Methods with Performance Guarantees for Subspace Learning

Carl Olsson Imaging and Image Analysis
Fredrik Kahl Imaging and Image Analysis
Swedish Research Council (VR)

2016–2021

Semantic Mapping and Visual Navigation for Smart Robots

Fredrik Kahl Imaging and Image Analysis
Carl Toft Imaging and Image Analysis
Carl Olsson Imaging and Image Analysis
Swedish Foundation for Strategic Research (SSF)

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