Computer Graphics
TU Braunschweig

Subframe Temporal Alignment of Non-Stationary Cameras

Subframe Temporal Alignment of Non-Stationary Cameras

This paper studies the problem of estimating the sub-frame temporal oÆset

between unsychronized, non-stationary cameras. Based on motion trajec-

tory correspondences, the estimation is done in two steps. First, we propose

an algorithm to robustly estimate the frame accurate oÆset by analyzing

the trajectories and matching their characteristic time patterns. Using this

result, we then show how the estimation of the fundamental matrix between

two cameras can be reformulated to yield the sub-frame accurate oÆset from

nine correspondences. We verify the robustness and performance of our ap-

proach on synthetic data as well as on real video sequences

Author(s):Benjamin Meyer, Timo Stich, Marcus Magnor, Marc Pollefeys
Published:September 2008
Type:Article in conference proceedings
Book:Proc. British Machine Vision Conference (BMVC)
Presented at:British Machine Vision Conference (BMVC)
Project(s): Virtual Video Camera 

  title = {Subframe Temporal Alignment of Non-Stationary Cameras},
  author = {Meyer, Benjamin and Stich, Timo and Magnor, Marcus and Pollefeys, Marc},
  booktitle = {Proc. British Machine Vision Conference ({BMVC})},
  month = {Sep},
  year = {2008}