Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks-Reference-Cited by-同舟云学术

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Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks

Published:2023-07 Issue: Volume:171 Page:138-147
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Lee Jae Young^ORCID,Hur Jiwan,Choi Jaehyun^ORCID,Park Rae-Hong,Kim Junmo^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Light field image processing: an overview;Wu;IEEE J. Sel. Top. Signal Process.,2017

2. Saliency detection on light field;Li,2014

3. Light field super-resolution with zero-shot learning;Cheng,2021

4. I see-through you: a framework for removing foreground occlusion in both sparse and dense light field images;Hur,2023

5. A taxonomy and evaluation of dense light field depth estimation algorithms;Johannsen,2017

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