We propose a novel geovisualization framework based on geographic data matching between maps with intersections and their corresponding intersection database on GIS. First, users select several regions to view. The GIS generates maps with intersections and registers these intersections and their contents in our system. The users then view the map content in augmented reality (AR). To identify several dozens of area maps, we propose using LLAH (Locally Likely Arrangement Hashing), a point retrieval method using local geometry of neighbor points, when retrieving the intersections. We have improved LLAH to the point where it can now retrieve intersections with a free-moving camera. Experimental results indicate that intersection retrieval-based map retrieval is possible within several dozens of maps. Additional evaluations demonstrate the robustness of our improved LLAH from several different views.
|Number of pages||7|
|Journal||Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers|
|Publication status||Published - 2010 Apr 1|
ASJC Scopus subject areas
- Media Technology
- Computer Science Applications
- Electrical and Electronic Engineering