Spatial and temporal interpolation of multi-view image sequences

Tobias Gurdan, Martin R. Oswald, Daniel Gurdan, Daniel Cremers

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

We propose a simple and effective framework for multi-view image sequence interpolation in space and time. For spatial view point interpolation we present a robust feature-based matching algorithm that allows for wide-baseline camera configurations. To this end, we introduce two novel filtering approaches for outlier elimination and a robust approach for match extrapolations at the image boundaries. For smallbaseline and temporal interpolations we rely on an established optical flow based approach. We perform a quantitative and qualitative evaluation of our framework and present applications and results. Our method has a low runtime and results can compete with state-of-the-art methods.

Original languageEnglish
Title of host publicationPattern Recognition - 36th German Conference, GCPR 2014, Proceedings
EditorsJoachim Hornegger, Xiaoyi Jiang, Joachim Hornegger, Joachim Hornegger, Reinhard Koch
PublisherSpringer Verlag
Pages305-316
Number of pages12
ISBN (Electronic)9783319117515
DOIs
StatePublished - 2014
Event36th German Conference on Pattern Recognition, GCPR 2014 - Münster, Germany
Duration: 2 Sep 20145 Sep 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8753
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th German Conference on Pattern Recognition, GCPR 2014
Country/TerritoryGermany
CityMünster
Period2/09/145/09/14

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