Image-based camera localization: an overview
Abstract 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 localizatio...
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2018-09-01
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Online Access: | http://link.springer.com/article/10.1186/s42492-018-0008-z |
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doaj-13cc9c0652e44dc9b20bda6f966202c52020-11-24T21:50:04ZengSpringerOpenVisual Computing for Industry, Biomedicine, and Art2524-44422018-09-011111310.1186/s42492-018-0008-zImage-based camera localization: an overviewYihong Wu0Fulin Tang1Heping Li2National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of SciencesNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of SciencesNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of SciencesAbstract 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.http://link.springer.com/article/10.1186/s42492-018-0008-zPnP problemSLAMCamera localizationCamera pose determination |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yihong Wu Fulin Tang Heping Li |
spellingShingle |
Yihong Wu Fulin Tang Heping Li Image-based camera localization: an overview Visual Computing for Industry, Biomedicine, and Art PnP problem SLAM Camera localization Camera pose determination |
author_facet |
Yihong Wu Fulin Tang Heping Li |
author_sort |
Yihong Wu |
title |
Image-based camera localization: an overview |
title_short |
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_sort |
image-based camera localization: an overview |
publisher |
SpringerOpen |
series |
Visual Computing for Industry, Biomedicine, and Art |
issn |
2524-4442 |
publishDate |
2018-09-01 |
description |
Abstract 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. |
topic |
PnP problem SLAM Camera localization Camera pose determination |
url |
http://link.springer.com/article/10.1186/s42492-018-0008-z |
work_keys_str_mv |
AT yihongwu imagebasedcameralocalizationanoverview AT fulintang imagebasedcameralocalizationanoverview AT hepingli imagebasedcameralocalizationanoverview |
_version_ |
1725885594421166080 |