18 citations · 30 across the 5 of their papers we have counts for
8 papers
Online Invariance Selection for Local Feature Descriptors
Rémi Pautrat, Viktor Larsson, Martin R. Oswald +1
To be invariant, or not to be invariant: that is the question formulated in this work about local descriptors. A limitation of current feature descriptors is the trade-off between…
Infrastructure-based Multi-Camera Calibration using Radial Projections
Yukai Lin, Viktor Larsson, Marcel Geppert +3
Multi-camera systems are an important sensor platform for intelligent systems such as self-driving cars. Pattern-based calibration techniques can be used to calibrate the intrinsic…
AdaLAM: Revisiting Handcrafted Outlier Detection
Luca Cavalli, Viktor Larsson, Martin Ralf Oswald +2
Local feature matching is a critical component of many computer vision pipelines, including among others Structure-from-Motion, SLAM, and Visual Localization. However, due to limit…
From two rolling shutters to one global shutter
Cenek Albl, Zuzana Kukelova, Viktor Larsson +2
Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera…
GAPS: Generator for Automatic Polynomial Solvers
Bo Li, Viktor Larsson
Minimal problems in computer vision raise the demand of generating efficient automatic solvers for polynomial equation systems. Given a polynomial system repeated with different co…
Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve
Thomas Schöps, Viktor Larsson, Marc Pollefeys +1
Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly used parametric camera models are limited to a few degrees of freedom and thus ofte…