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Image-based camera localization: an overview
Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted much attention from both academic and industrial communities, in which image-based camera localization is a key task. However, there has not been a complete review on image-based camera localization. It is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099558/ https://www.ncbi.nlm.nih.gov/pubmed/32240389 http://dx.doi.org/10.1186/s42492-018-0008-z |
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author | Wu, Yihong Tang, Fulin Li, Heping |
author_facet | Wu, Yihong Tang, Fulin Li, Heping |
author_sort | Wu, Yihong |
collection | PubMed |
description | Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted much attention from both academic and industrial communities, in which image-based camera localization is a key task. However, there has not been a complete review on image-based camera localization. It is urgent to map this topic to enable individuals enter the field quickly. In this paper, an overview of image-based camera localization is presented. A new and complete classification of image-based camera localization approaches is provided and the related techniques are introduced. Trends for future development are also discussed. This will be useful not only to researchers, but also to engineers and other individuals interested in this field. |
format | Online Article Text |
id | pubmed-7099558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-70995582020-03-31 Image-based camera localization: an overview Wu, Yihong Tang, Fulin Li, Heping Vis Comput Ind Biomed Art Review Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted much attention from both academic and industrial communities, in which image-based camera localization is a key task. However, there has not been a complete review on image-based camera localization. It is urgent to map this topic to enable individuals enter the field quickly. In this paper, an overview of image-based camera localization is presented. A new and complete classification of image-based camera localization approaches is provided and the related techniques are introduced. Trends for future development are also discussed. This will be useful not only to researchers, but also to engineers and other individuals interested in this field. Springer Singapore 2018-09-05 /pmc/articles/PMC7099558/ /pubmed/32240389 http://dx.doi.org/10.1186/s42492-018-0008-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Wu, Yihong Tang, Fulin Li, Heping Image-based camera localization: an overview |
title | Image-based camera localization: an overview |
title_full | Image-based camera localization: an overview |
title_fullStr | Image-based camera localization: an overview |
title_full_unstemmed | Image-based camera localization: an overview |
title_short | Image-based camera localization: an overview |
title_sort | image-based camera localization: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099558/ https://www.ncbi.nlm.nih.gov/pubmed/32240389 http://dx.doi.org/10.1186/s42492-018-0008-z |
work_keys_str_mv | AT wuyihong imagebasedcameralocalizationanoverview AT tangfulin imagebasedcameralocalizationanoverview AT liheping imagebasedcameralocalizationanoverview |