D. Maurer, M. Stoll, and A. Bruhn. Proceedings of the British Machine Vision Conference (BMVC), page 106:1-106:13. BMVA Press, (2018)
Abstract
Pipeline approaches that interpolate and refine an initial set of point correspondenceshave recently shown a good performance in the field of optical flow estimation. However,so far, these methods are typically restricted to two frames which makes exploiting tem-poral information difficult. In this paper, we show how such pipeline approaches can beextended to the temporal domain and how directional constraints can be incorporated tofurther improve the estimation. To this end, we not only suggest to exploit temporal infor-mation in the prefiltering step, we also propose a trajectorial refinement method that liftssuccessful concepts of recent variational two-frame methods to the multi-frame domain.Experiments demonstrate the usefulness of our pipeline approach. They do not only showgood results in general, they also demonstrate the clear benefits of using multiple framesand of imposing directional constraints on the prefiltering step and the refinement.
%0 Conference Paper
%1 conf/bmvc/MaurerSB18
%A Maurer, Daniel
%A Stoll, Michael
%A Bruhn, Andrés
%B Proceedings of the British Machine Vision Conference (BMVC)
%D 2018
%I BMVA Press
%K from:leonkokkoliadis 2018 sfbtrr161 B04 visus:maurerdl from:mueller visus visus:bruhnas
%P 106:1-106:13
%T Directional Priors for Multi-Frame Optical Flow
%U http://bmvc2018.org/contents/papers/0377.pdf
%X Pipeline approaches that interpolate and refine an initial set of point correspondenceshave recently shown a good performance in the field of optical flow estimation. However,so far, these methods are typically restricted to two frames which makes exploiting tem-poral information difficult. In this paper, we show how such pipeline approaches can beextended to the temporal domain and how directional constraints can be incorporated tofurther improve the estimation. To this end, we not only suggest to exploit temporal infor-mation in the prefiltering step, we also propose a trajectorial refinement method that liftssuccessful concepts of recent variational two-frame methods to the multi-frame domain.Experiments demonstrate the usefulness of our pipeline approach. They do not only showgood results in general, they also demonstrate the clear benefits of using multiple framesand of imposing directional constraints on the prefiltering step and the refinement.
@inproceedings{conf/bmvc/MaurerSB18,
abstract = {Pipeline approaches that interpolate and refine an initial set of point correspondenceshave recently shown a good performance in the field of optical flow estimation. However,so far, these methods are typically restricted to two frames which makes exploiting tem-poral information difficult. In this paper, we show how such pipeline approaches can beextended to the temporal domain and how directional constraints can be incorporated tofurther improve the estimation. To this end, we not only suggest to exploit temporal infor-mation in the prefiltering step, we also propose a trajectorial refinement method that liftssuccessful concepts of recent variational two-frame methods to the multi-frame domain.Experiments demonstrate the usefulness of our pipeline approach. They do not only showgood results in general, they also demonstrate the clear benefits of using multiple framesand of imposing directional constraints on the prefiltering step and the refinement.},
added-at = {2020-10-09T12:31:48.000+0200},
author = {Maurer, Daniel and Stoll, Michael and Bruhn, Andrés},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23351fb1e60e55e46a6ea58a263b12e07/visus},
booktitle = {Proceedings of the British Machine Vision Conference (BMVC)},
crossref = {conf/bmvc/2018},
description = {Directional Priors for Multi-Frame Optical Flow},
ee = {http://bmvc2018.org/contents/papers/0377.pdf},
interhash = {37673aeb097223b9e1c62202f0c68b00},
intrahash = {3351fb1e60e55e46a6ea58a263b12e07},
keywords = {from:leonkokkoliadis 2018 sfbtrr161 B04 visus:maurerdl from:mueller visus visus:bruhnas},
pages = {106:1-106:13},
publisher = {BMVA Press},
timestamp = {2020-10-09T10:31:48.000+0200},
title = {Directional Priors for Multi-Frame Optical Flow},
url = {http://bmvc2018.org/contents/papers/0377.pdf},
year = 2018
}