Depth Reconstruction from Single Images Using a Convolutional Neural Network and a Condition Random Field Model

Depth Reconstruction from Single Images Using a Convolutional Neural Network and a Condition Random Field Model

This paper presents an effective approach for depth reconstruction from a single image through the incorporation of semantic information and local details from the image. A unified framework for depth acquisition is constructed by joining a deep Convolutional Neural Network (CNN) and a continuous pa...

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Bibliographic Details
Main Authors: Dan Liu, Xuejun Liu, Yiguang Wu
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
depth reconstruction
single image
convolutional neural network
conditional random field
Online Access:http://www.mdpi.com/1424-8220/18/5/1318

Internet

http://www.mdpi.com/1424-8220/18/5/1318

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