Blind First-Order Perspective Distortion Correction Using Parallel Convolutional Neural Networks

Blind First-Order Perspective Distortion Correction Using Parallel Convolutional Neural Networks

In this work, we present a network architecture with parallel convolutional neural networks (CNN) for removing perspective distortion in images. While other works generate corrected images through the use of generative adversarial networks or encoder-decoder networks, we propose a method wherein thr...

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Bibliographic Details
Main Authors: Neil Patrick Del Gallego, Joel Ilao, Macario Cordel
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
computer vision
distortion correction
image warping
convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/20/17/4898

Internet

https://www.mdpi.com/1424-8220/20/17/4898

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