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Conference Paper Architecture of Image Feature DB Storage for Mobile Visual Localization
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Authors
Donghyun Jeon, Seonghyun Kim, Sanghoon Lee, Ju-il Jeon
Issue Date
2015-07
Citation
International Conference on Advanced Communication Technology (ICACT) 2015, pp.88-91
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICACT.2015.7224763
Project Code
14MC5500, Development of Autonomous Location Infrastructure DB, Youngsu Cho
Abstract
Location-based services (LBS) are becoming increasingly popular. Particularly, indoor mobile localization methods that use GPS or wireless signals have problem of accuracy yet. This article presents a novel system to mobile visual localization according to a given image associated with a variety of wireless signals in indoor environment. Recently structure from motion (SfM) approaches enable to create 3D models of scenes. These reconstructed sparse 3D-point clouds can then be used for accurate image-based localization by 3D-to-2D feature matching from database. Our proposed structure of storage in database is able to efficiently handle such large amounts of image feature data.
KSP Keywords
3D-to-2D, 3d model, Feature data, Feature matching, Image feature, Image-based localization, Indoor Environment, Localization method, Location-Based Services, Mobile Localization, Point clouds