A variational approach for multi-valued velocity field estimation in transparent sequences

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

We propose a variational approach for multi-valued velocity field estimation in transparent sequences. Starting from existing local motion estimators, we show a variational model for integrating in space and time these local estimations to obtain a robust estimation of the multi-valued velocity field. With this approach, we can indeed estimate some multi-valued velocity fields which are not necessarily piecewise constant on a layer: Each layer can evolve according to non-parametric optical flow. We show how our approach outperforms some existing approaches, and we illustrate its capabilities on several challenging synthetic/real sequences.

OriginalsprogEngelsk
TitelScale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings
Antal sider12
ForlagSpringer Verlag
Publikationsdato2007
Sider227-238
ISBN (Trykt)9783540728221
DOI
StatusUdgivet - 2007
Begivenhed1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 - Ischia, Italien
Varighed: 30 maj 20072 jun. 2007

Konference

Konference1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007
LandItalien
ByIschia
Periode30/05/200702/06/2007
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind4485 LNCS
ISSN0302-9743

ID: 262858363