Journal
PATTERN RECOGNITION
Volume 74, Issue -, Pages 90-109Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2017.09.013
Keywords
Image-based localization; Visual geo-localization; Camera relocalisation; Pose estimation
Funding
- French ANR project pLaTINUM [ANR-15-CE23-0010]
- Agence Nationale de la Recherche (ANR) [ANR-15-CE23-0010] Funding Source: Agence Nationale de la Recherche (ANR)
Ask authors/readers for more resources
We are surrounded by plenty of information about our environment. From these multiple sources, numerous data could be extracted: set of images, 3D model, coloured points cloud... When classical localization devices failed (e.g. GPS sensor in cluttered environments), aforementioned data could be used within a localization framework. This is called Visual Based Localization (VBL). Due to numerous data types that can be collected from a scene, VBL encompasses a large amount of different methods. This paper presents a survey about recent methods that localize a visual acquisition system according to a known environment. We start by categorizing VBL methods into two distinct families: indirect and direct localization systems. As the localization environment is almost always dynamic, we pay special attention to methods designed to handle appearances changes occurring in a scene. Thereafter, we highlight methods exploiting heterogeneous types of data. Finally, we conclude the paper with a discussion on promising trends that could permit to a localization system to reach high precision pose estimation within an area as large as possible. (C) 2017 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available