Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC)
Metadata Last Update2020: (UTC) administrator
Citation KeyAraujoSamEvaManFer:2015:AcLoFa
TitleAccurate location of façades of interest in street view panoramic sequences
Access Date2021, Dec. 04
Number of Files1
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Author1 Araujo, André Alvarado
2 Sampaio, Jonas da Costa
3 Evangelista, Raphael dos Santos
4 Mantuan, Altobelli de Brito
5 Fernandes, Leandro Augusto Frata
Affiliation1 Universidade Federal Fluminense (UFF)
2 Universidade Federal Fluminense (UFF)
3 Universidade Federal Fluminense (UFF)
4 Universidade Federal Fluminense (UFF)
5 Universidade Federal Fluminense (UFF)
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-18 21:19:57 :: -> administrator ::
2020-02-19 02:14:03 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsstreet view
geographical coordinates
environment map
feature extraction
feature matching
error propagation
AbstractGeo-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 façade. 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. > SDLA > SIBGRAPI 2015 > Accurate location of...
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Next Higher Units8JMKD3MGPBW34M/3K24PF8
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