A Novel One-to-One Framework for Relative Camera Pose Estimation

A Novel One-to-One Framework for Relative Camera Pose Estimation

To address the challenge of relative camera pose estimation, many permutation-invariant neural networks have been developed to process sparse correspondences with constant latency. These networks typically utilize an n-to-n framework, where n putative correspondences from the same image pairs are pl...

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Bibliographic Details
Main Authors: M. Fatih Aydogdu, M. Fatih Demirci
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
essential matrix estimation
feature matching
relative camera pose estimation
tensor processing units
Online Access:https://ieeexplore.ieee.org/document/10707240/

Internet

https://ieeexplore.ieee.org/document/10707240/

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