Improved 2D-to-3D video conversion by fusing optical flow analysis and scene depth learning

Abstract

Automatic 2D-to-3D conversion aims to reduce the existing gap between the scarce 3D content and the incremental amount of displays that can reproduce this 3D content. Here, we present an automatic 2D-to-3D conversion algorithm that extends the functionality of the most of the existing machine learning based conversion approaches to deal with moving objects… (More)
DOI: 10.1109/3DTV.2016.7548954

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Cite this paper

@article{Herrera2016Improved2V, title={Improved 2D-to-3D video conversion by fusing optical flow analysis and scene depth learning}, author={Jose L. Herrera and Carlos R. del-Blanco and Narciso N. Garc{\'i}a}, journal={2016 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)}, year={2016}, pages={1-4} }