LFDeNet: Light Field Depth Estimation Network Based on Hybrid Data Representation-Reference-Cited by-同舟云学术

LFDeNet: Light Field Depth Estimation Network Based on Hybrid Data Representation

Published:2022-06-15 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
language:
Short-container-title:

Author:

Van Duong Vinh¹,Huu Thuc Nguyen¹,Yim Jonghoon¹,Jeon Byeungwoo¹

Affiliation:

1. Sungkyunkwan University,Department of Electrical and Computer Engineering,Korea

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

Reference18 articles.

1. A framework for learning depth from a flexible subset of dense and sparse light field views;shin;IEEE Transactions on Image Processing,2019

2. Manet: Multi-scale aggregated network for light field depth estimation;yan;Proc IEEE Inter Conf On Acoustics Speech and Signal Processing,0

3. New Light Field Image Dataset;ebrahimi;Proc 8th International Conference on Quality of Multimedia Experience (QoMEX),2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Deep 3D Geometric Saliency Estimation from Light Field Images;2023 24th International Conference on Digital Signal Processing (DSP);2023-06-11