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Cost Volume Refinement for Depth Prediction - VisTeam

Type of Publication

Conference Papers

Date:

1 /

2021

Status

Published

DOI:

10.1109/ICPR48806.2021.9412730

Cost Volume Refinement for Depth Prediction

Featured in:

25th International Conference on Pattern Recognition (ICPR) Milan, Italy

Authors:

João L. Cardoso, Nuno Gonçalves and Michael Wimmer

Abstract

This paper advocates for refining cost volumes over depth maps to enhance depth prediction accuracy in light-field cameras. It proposes several cost-volume refinement algorithms and demonstrates their effectiveness in achieving improved results.

Citation
João L. Cardoso, Nuno Gonçalves and Michael Wimmer (2021, January). Cost volume refinement for depth prediction. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 354-361). IEEE.

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