• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations

DMCA

Motion Detail Preserving Optical Flow Estimation

Cached

  • Download as a PDF

Download Links

  • [www.cse.cuhk.edu.hk]
  • [research.microsoft.com]
  • [www.cse.cuhk.edu.hk]
  • [www-infobiz.ist.osaka-u.ac.jp]
  • [www.cse.cuhk.edu.hk]
  • [www.cse.cuhk.edu.hk]
  • [www.cse.cuhk.edu.hk]
  • [www.cse.cuhk.edu.hk]
  • [www.cse.cuhk.edu.hk]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Li Xu , Jiaya Jia , Yasuyuki Matsushita
Citations:72 - 1 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Xu_motiondetail,
    author = {Li Xu and Jiaya Jia and Yasuyuki Matsushita},
    title = {Motion Detail Preserving Optical Flow Estimation },
    year = {}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

We discuss the cause of a severe optical flow estimation problem that fine motion structures cannot always be correctly reconstructed in the commonly employed multiscale 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.

Keyphrases

new optimization procedure    major finding    coarse-to-fine refinement    severe optical flow estimation problem    flow estimate    coarser level    initial value    multiscale variational framework    small-displacement optical flow estimation    small-scale motion structure    many motion detail    novel optical flow estimation method    fine motion structure    abrupt displacement transition    objective function   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University