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Conference Paper
Street Searching Service Framework for Navigation
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- Authors
- Seungjae Lee, Sungkwan Je, Keundong Lee, Sang-il Na, Weon-Geun Oh
- Issue Date
- 2013-01
- Citation
- Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV) 2013, pp.197-200
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose new street searching service framework. Most location-based service uses GPS to estimate the geographical position; however, it is noisy and the GPS is not always available. To compensate this error, the visual search can be used to localize the position by comparing descriptors with geo-tagged reference DB, but it is a tedious job to collect the reference DB. To overcome this problem, we use visual descriptors around crossroads to localize the position. Combining location recognition with visual descriptor and multi-perspective panoramic street views, we provide precise and easy way of searching locations in downtown. © 2013 IEEE.
- KSP Keywords
- Location recognition, Location-Based Services, Multi-perspective, Service Framework, Street View, Visual descriptor, Visual search, geo-tagged