no code implementations • 21 Aug 2021 • Tianyu Wu, Konrad Schindler, Cenek Albl
It turns out that the task to reconstruct scene structure from webcam streams is very different from standard structure-from-motion (SfM), and conventional SfM pipelines fail.
no code implementations • CVPR 2020 • Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomas Pajdla, Konrad Schindler
Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture.
no code implementations • ECCV 2020 • Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla
The internal geometry of most modern consumer cameras is not adequately described by the perspective projection.
2 code implementations • 10 Mar 2020 • Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl
We present a method to reconstruct the 3D trajectory of an airborne robotic system only from videos recorded with cameras that are unsynchronized, may feature rolling shutter distortion, and whose viewpoints are unknown.
no code implementations • 30 Dec 2018 • Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomas Pajdla
Our best 6-point solver, based on the new alternation technique, shows an identical or even better performance than the state-of-the-art R6P solver and is two orders of magnitude faster.
2 code implementations • CVPR 2017 • Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras.
no code implementations • CVPR 2016 • Cenek Albl, Zuzana Kukelova, Tomas Pajdla
We compare our R5Pup to the state of the art RS and perspective methods and demonstrate that it outperforms them when vertical direction is known in the range of accuracy available on modern mobile devices.
no code implementations • CVPR 2015 • Cenek Albl, Zuzana Kukelova, Tomas Pajdla
Therefore we can use the standard P3P algorithm to estimate camera orientation and to bring the camera rotation matrix close to the identity.