18 citations · 56 across the 25 of their papers we have counts for
5 papers · 1 filter
Robust Self-calibration of Focal Lengths from the Fundamental Matrix
Viktor Kocur, Daniel Kyselica, Zuzana Kukelova
The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer vision. Under the assumption of known principal po…
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses
Kunal Chelani, Torsten Sattler, Fredrik Kahl +1
Visual localization is the task of estimating the camera pose from which a given image was taken and is central to several 3D computer vision applications. With the rapid growth in…
Visual Localization using Imperfect 3D Models from the Internet
Vojtech Panek, Zuzana Kukelova, Torsten Sattler
Visual localization is a core component in many applications, including augmented reality (AR). Localization algorithms compute the camera pose of a query image w.r.t. a scene repr…
Practical solutions to the relative pose of three calibrated cameras
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +4
We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We propose novel efficient solutions to this problem t…
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix
Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova
Many computer vision applications require robust and efficient estimation of camera geometry from a minimal number of input data measurements, i.e., solving minimal problems in a R…