author = "Araujo, Andr{\'e} Alvarado and Sampaio, Jonas da Costa and 
                         Evangelista, Raphael dos Santos and Mantuan, Altobelli de Brito 
                         and Fernandes, Leandro Augusto Frata",
          affiliation = "{Universidade Federal Fluminense (UFF)} and {Universidade Federal 
                         Fluminense (UFF)} and {Universidade Federal Fluminense (UFF)} and 
                         {Universidade Federal Fluminense (UFF)} and {Universidade Federal 
                         Fluminense (UFF)}",
                title = "Accurate location of fa{\c{c}}ades of interest in street view 
                         panoramic sequences",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "street view, geographical coordinates, environment map, feature 
                         extraction, feature matching, error propagation.",
             abstract = "Geo-spatial queries, i.e., queries that combine location data with 
                         other kinds of input, have taken huge importance in the last 
                         generation of search engines. The success of a geo-spatial search 
                         depends on the quality of the positioning information provided, 
                         for instance, by GPS-enabled smartphones. Therefore, the quality 
                         of the GPS signal and the quality of the built-in GPS may affect 
                         the accuracy of the estimated location, and hence the quality of 
                         the searching result. This paper proposes an automatic image-based 
                         solution for improving the estimation of the geographical 
                         coordinates of a building of interest on which a geo-spatial 
                         search will be performed. Our approach uses the inaccurate GPS 
                         coordinates estimated by smartphones as starting point for 
                         automated visual search into a graph of streets enhanced with 
                         street view panoramic sequences. During the search, our approach 
                         uses a query image of the building of interest to identify which 
                         panoramic views include the building's fa{\c{c}}ade. From the 
                         geographical location of the panoramic views and from the best 
                         matching directions of the given image with the panoramic images, 
                         our approach triangulates the location of the target building. In 
                         addition, our approach estimates the uncertainty in the computed 
                         locations by modeling the error propagation along the 
                         triangulation procedure. We evaluate our method on several real 
                         images of buildings.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
           targetfile = "PID3770445.pdf",
        urlaccessdate = "2021, Dec. 01"