Unsupervised Monocular Depth and Camera Pose Estimation with Multiple Masks and Geometric Consistency Constraints

This paper presents a novel unsupervised learning framework for estimating scene depth and camera pose from video sequences, fundamental to many high-level tasks such as 3D reconstruction, visual navigation, and augmented reality. Although existing unsupervised methods have achieved promising result...

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Detalles Bibliográficos
Autores principales: Zhang, Xudong, Zhao, Baigan, Yao, Jiannan, Wu, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255976/
https://www.ncbi.nlm.nih.gov/pubmed/37300056
http://dx.doi.org/10.3390/s23115329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255976/
https://www.ncbi.nlm.nih.gov/pubmed/37300056
http://dx.doi.org/10.3390/s23115329

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