An Occlusion Compensation Learning Framework for Improving the Rendering Quality of Light Field-Reference-Cited by-同舟云学术

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An Occlusion Compensation Learning Framework for Improving the Rendering Quality of Light Field

Published:2021-12 Issue:12 Volume:32 Page:5738-5752
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhu Changjian^ORCID,Zhang Hong^ORCID,Chen Weiyan,Tan Min,Liu Qiuming

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Natural Science Foundation of Jiangxi Province

China University Industry-University-Research Innovation Fund

Hubei Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/9629429/09241065.pdf?arnumber=9241065

Cited by 3 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

1. Beyond Photometric Consistency: Geometry-Based Occlusion-Aware Unsupervised Light Field Disparity Estimation;IEEE Transactions on Neural Networks and Learning Systems;2023

2. Spectral analysis of a surface occlusion model for image-based rendering sampling;Digital Signal Processing;2022-10

3. Panoramic Light Field - Oriented Image Stitching Method with Semantics and Projection;2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE);2021-11

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