Light-Field Depth Estimation Using RNN and CRF
Author:
Affiliation:
1. School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China
2. Nanjing Institute of Technology,School of Computer Engineering,Nanjing,China
Funder
Nanjing Institute of Technology
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9886001/9885797/09886991.pdf?arnumber=9886991
Reference22 articles.
1. Light Field Intrinsics with a Deep Encoder-Decoder Network
2. EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
3. Depth Estimation from Light Field Geometry Using Convolutional Neural Networks
4. Attention-based Multi-Level Fusion Network for Light Field Depth Estimation
5. VommaNet: An End-to-End network for disparity estimation from reflective and texture-less light field images;ma,2018
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1. A Learning-Based Method for Conditioning Neural Light Fields From Limited Inputs;IEEE Sensors Journal;2024-04-01
2. Light field depth estimation: A comprehensive survey from principles to future;High-Confidence Computing;2024-03
3. Deep 3D Geometric Saliency Estimation from Light Field Images;2023 24th International Conference on Digital Signal Processing (DSP);2023-06-11
4. Exploiting Sequence Analysis for Accurate Light-Field Depth Estimation;IEEE Access;2023
5. Decoupled and Reparameterized Compound Attention-Based Light Field Depth Estimation Network;IEEE Access;2023
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