Motion detail preserving optical flow estimation
Refereed conference paper presented and published in conference proceedings

Times Cited
Altmetrics Information

Other information
AbstractWe discuss the cause of a severe optical flow estimation problem that fine motion structures cannot always be correctly reconstructed in the commonly employed multi-scale variational framework. Our major finding is that significant and abrupt displacement transition wrecks small-scale motion structures in the coarse-to-fine refinement. A novel optical flow estimation method is proposed in this paper to address this issue, which reduces the reliance of the flow estimates on their initial values propagated from the coarser level and enables recovering many motion details in each scale. The contribution of this paper also includes adaption of the objective function and development of a new optimization procedure. The effectiveness of our method is borne out by experiments for both large- and small-displacement optical flow estimation. ©2010 IEEE.
All Author(s) ListXu L., Jia J., Matsushita Y.
Name of Conference2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Start Date of Conference13/06/2010
End Date of Conference18/06/2010
Place of ConferenceSan Francisco, CA
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE,
Pages1293 - 1300
LanguagesEnglish-United Kingdom

Last updated on 2021-19-02 at 00:02