Depth Estimation from Light Field Geometry Using Convolutional Neural Networks

Depth Estimation from Light Field Geometry Using Convolutional Neural Networks

Depth estimation based on light field imaging is a new methodology that has succeeded the traditional binocular stereo matching and depth from monocular images. Significant progress has been made in light-field depth estimation. Nevertheless, the balance between computational time and the accuracy o...

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Bibliographic Details
Main Authors: Lei Han, Xiaohua Huang, Zhan Shi, Shengnan Zheng
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
depth estimation
deep learning
light field
EPI
convolutional neural network
textural image
Online Access:https://www.mdpi.com/1424-8220/21/18/6061

Internet

https://www.mdpi.com/1424-8220/21/18/6061

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