On the Two-View Geometry of Unsynchronized Cameras
Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
Abstract
We present new methods of simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras. Algorithms for simultaneous computation of a fundamental matrix or a homography with unknown time shift between images are developed. Our methods use minimal correspondence sets (eight for fundamental matrix and four and a half for homography) and therefore are suitable for robust estimation using RANSAC. Furthermore, we present an iterative algorithm that extends the applicability on sequences which are significantly unsynchronized, finding the correct time shift up to several seconds. We evaluated the methods on synthetic and wide range of real world datasets and the results show a broad applicability to the problem of camera synchronization.
BibTeX
@inproceedings{cvpr2017_onthetwoviewgeom,
title = {On the Two-View Geometry of Unsynchronized Cameras},
author = {Cenek Albl and Zuzana Kukelova and Andrew Fitzgibbon and Jan Heller and Matej Smid and Tomas Pajdla},
booktitle = {CVPR 2017},
year = {2017}
}