Paper Info
Title
Determining the location of buildings given a single picture, environment maps and inaccurate GPS coordinates
Abstract
A recurring task for travelers and citizens of large cities is to obtain information about historical monuments, interesting façades, and business establishments. Even in front of the target building, a traveler may experience some difficulties in getting information about the place of interest due to, for instance, language issues. In addition, even with the help of a GPS-enabled smartphone, the identification of the establishment may be difficult due to the lack of accuracy of the positioning system, which may not provide precise location of the site. We present a computational process that is capable of identifying the correct geographic coordinates of the place of interest given a single photo image of a target building. We use the inaccurate GPS coordinates as start point for automated visual search into first-person web mapping services (e.g., Google Street View, Microsoft StreetSide). By going through the views of the streets, our system looks for the façade presented in the input image and retrieve its location. We demonstrate the proposed approach and algorithms by building a prototype of the application. Our solution employs graph traversal algorithms, computer vision and image processing techniques such as ASIFT, projection, triangulation, and histogram analysis. The effectiveness of our solution was asserted by automatically retrieving the geographic coordinates of façades in our hometown.
Year
DOI
Venue
2015
10.1145/2695664.2695810
SAC 2015: Symposium on Applied Computing Salamanca Spain April, 2015
Keywords
Field
DocType
mobile device, visual identification, GPS coordinates
Histogram,Computer vision,Graph traversal,Web mapping,Computer science,Geographic coordinate system,Mobile device,Triangulation (social science),Artificial intelligence,Facade,Positioning system
Conference
ISBN
Citations 
PageRank 
978-1-4503-3196-8
2
0.40
References 
Authors
9
3
Name
Order
Citations
PageRank
Jonas C. Sampaio120.74
Raphael S. Evangelista220.40
Leandro A. F. Fernandes320616.22