activity
20132022
most citedD2-Net: A Trainable CNN for Joint Detection and Description of Local Features

74 citations · 78 across the 9 of their papers we have counts for

collaborators

19 papers

cs.CV2021

Reconstructing Small 3D Objects in front of a Textured Background

Petr Hruby, Tomas Pajdla

We present a technique for a complete 3D reconstruction of small objects moving in front of a textured background. It is a particular variation of multibody structure from motion,…

math.AG2021

Galois/monodromy groups for decomposing minimal problems in 3D reconstruction

Timothy Duff, Viktor Korotynskiy, Tomas Pajdla +1

We consider Galois/monodromy groups arising in computer vision applications, with a view towards building more efficient polynomial solvers. The Galois/monodromy group allows us to…

cs.RO2020

Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation

Karla Stepanova, Jakub Rozlivek, Frantisek Puciow +3

We present a robot kinematic calibration method that combines complementary calibration approaches: self-contact, planar constraints, and self-observation. We analyze the estimatio…

cs.RO20202 cited

Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator

Pavel Trutman, Safey El Din Mohab, Didier Henrion +1

The Inverse Kinematics (IK) problem is to nd robot control parameters to bring it into the desired position under the kinematics and collision constraints. We present a global solu…

cs.CV2020

Making Affine Correspondences Work in Camera Geometry Computation

Daniel Barath, Michal Polic, Wolfgang Förstner +3

Local features e.g. SIFT and its affine and learned variants provide region-to-region rather than point-to-point correspondences. This has recently been exploited to create new min…

cs.CV2020

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…