Spatial and temporal interpolation of multi-view image sequences
Gurdan T, Oswald MR, Gurdan D, Cremers D (2014)
Publication Type: Conference contribution
Publication year: 2014
Journal
Publisher: Springer Verlag
Book Volume: 8753
Pages Range: 305-316
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Münster, DEU
ISBN: 9783319117515
DOI: 10.1007/978-3-319-11752-2_24
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.
Involved external institutions
Germany (DE)How to cite
APA:
Gurdan, T., Oswald, M.R., Gurdan, D., & Cremers, D. (2014). Spatial and temporal interpolation of multi-view image sequences. In Joachim Hornegger, Xiaoyi Jiang, Joachim Hornegger, Joachim Hornegger, Reinhard Koch (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 305-316). Münster, DEU: Springer Verlag.
MLA:
Gurdan, Tobias, et al. "Spatial and temporal interpolation of multi-view image sequences." Proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, Münster, DEU Ed. Joachim Hornegger, Xiaoyi Jiang, Joachim Hornegger, Joachim Hornegger, Reinhard Koch, Springer Verlag, 2014. 305-316.
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