A Review of Recurrent Neural Network Based Camera Localization for Indoor Environments-Reference-Cited by-同舟云学术

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A Review of Recurrent Neural Network Based Camera Localization for Indoor Environments

Published:2023 Issue: Volume:11 Page:43985-44009
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alam Muhammad Shamsul¹^ORCID,Mohamed Farhan Bin¹^ORCID,Selamat Ali²^ORCID,Hossain Akm Bellal¹

Affiliation:

1. Department of Emergent Computing, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

2. Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10114389.pdf?arnumber=10114389

Reference228 articles.

1. Image-Based Localization Using LSTMs for Structured Feature Correlation

2. CubeSLAM: Monocular 3-D Object SLAM

3. Modelling uncertainty in deep learning for camera relocalization;kendall;arXiv 1509 05909,2015

4. DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation

5. Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network

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