B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images-Reference-Cited by-同舟云学术

B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images

Published:2023-10 Issue:10 Volume:8 Page:6747-6754
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Rekavandi Aref Miri¹^ORCID,Boussaid Farid²^ORCID,Seghouane Abd-Krim³^ORCID,Bennamoun Mohammed¹^ORCID

Affiliation:

1. Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia

2. Department of Electrical, Electronics and Computer Engineering, The University of Western Australia, Crawley, WA, Australia

3. School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia

Funder

Remsense Technologies

JTSI Western Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10220574/10242363.pdf?arnumber=10242363

Reference40 articles.

1. City-Scale Location Recognition

2. Extended Expectation Maximization for Under-Fitted Models

3. Fully convolutional networks for semantic segmentation

4. Geometric Loss Functions for Camera Pose Regression with Deep Learning

5. Graph-Based Discriminative Learning for Location Recognition

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