BROWSE
Detail
Conference Paper
Architecture of Image Feature DB Storage for Mobile Visual Localization
Cited 1 time in 
Share 
Share
- 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
- 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 Model, 3D-to-2D, Feature data, Image Features, Image-based localization, Indoor environment, Location-Based Services, Mobile Localization, Point clouds, Wireless signal, feature Matching