Name
Abstract | ||
|---|---|---|
Recently, augmenting paper maps with additional dynamic information on mobile devices has become popular. A central task in this context is to register high-resolution paper maps to digital maps on a mobile device, which was typically performed by means of RFID tags or visual markers on specially prepared paper maps. In this paper we present a novel graph-based approach for a markerless registration of city maps. The goal is to find the best registration between a given image, which shows a small part of a city map, and stored map data. The proposed method creates a graph representation of a given input image and robustly finds an optimal registration using a geometric hashing technique. It is translation, scale and rotation invariant, and robust against noise and missing data. Experiments on both synthetic and real data are presented to demonstrate the algorithmic performance. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.cviu.2010.12.014 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
optimal registration,high-resolution paper map,mobile multimedia,geometric hashing,augmented reality,prepared paper map,mobile device,map data,city map,graph-based markerless registration,best registration,augmenting paper map,graph matching,missing data,markerless registration,rfid tag,digital mapping,high resolution,graph representation | Computer vision,Computer science,Digital mapping,Augmented reality,Matching (graph theory),Mobile device,Artificial intelligence,Geometric hashing,Missing data,City map,Machine learning,Graph (abstract data type) | Journal |
Volume | Issue | ISSN |
115 | 7 | Computer Vision and Image Understanding |
Citations | PageRank | References |
3 | 0.37 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyi Jiang | 1 | 2184 | 206.38 |
| Klaus Broelemann | 2 | 26 | 3.46 |
| Steffen Wachenfeld | 3 | 16 | 3.01 |
| Antonio Krüger | 4 | 1537 | 127.04 |