Novel Neural Networks for Camera Calibration in Underwater Environments

Novel Neural Networks for Camera Calibration in Underwater Environments

A novel method for camera calibration in underwater environments using convolutional networks is presented. Two modified neural network architectures, ZCalibAquaNet and BCalibAquaNet, were developed for calibration matrix estimation from chessboard images in underwater environments. The process bega...

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Bibliographic Details
Main Authors: Cristian H. Sanchez-Saquin, Leonardo Barriga-Rodriguez, Leonardo A. Baldenegro-Perez, Guillermo Ronquillo-Lomeli, Noe A. Rodriguez-Olivares
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Underwater calibration
calibration matrix
3D reconstruction
Zhang
Bouguet
Online Access:https://ieeexplore.ieee.org/document/10772075/

Internet

https://ieeexplore.ieee.org/document/10772075/

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