Publication:
Image Geocoding as a Service

dc.contributor.authorAmorim, Nuno
dc.contributor.authorAlmeida, Paulo
dc.contributor.authorRocha, Jorge Gustavo
dc.contributor.departmentUniversidade do Minho, Portugal
dc.contributor.departmentUniversidade do Minho, Portugal
dc.contributor.departmentUniversidade do Minho
dc.date2023-09-23T20:34:07.000
dc.date.accessioned2024-04-26T17:32:13Z
dc.date.available2018-02-18T00:00:00Z
dc.description.abstractDriven by the ambition of a global geocoding solution, in this paper we present the architecture of an image geocoding service. It takes advantage of the ubiquity of cameras, that are present in almost all smartphones. It is an inexpensive sensor yet powerful, that can be used to provide precise location and orientation. This geocoding service provides an API similar to existing ones for place names and addresses, like Google Geocoding API. Instead of a text based query, images can be submitted to estimate the location and orientation of the user. Developers can use this new API, keeping almost all the existing code already used for other geocoding APIs. Behind the scenes, image features are extracted from the submitted photograph, and compared against a huge database of georeferenced models. These models were constructed using structure from motion (SFM) techniques, and heavily reduced to a representative set of all information using Synthetic Views. Our preliminary results shows that the pose estimation of the majority of the images submitted to our geocoding was successfully computed (more than 60%) with the mean positional error around 2 meters. With this service, an inexpensive outdoor/indoor location service can be provided, for example, for urban environments, where GPS fails.
dc.identifier.doihttps://doi.org/10.7275/R5833Q6K
dc.identifier.urihttps://hdl.handle.net/20.500.14394/29690
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1107&context=foss4g&unstamped=1
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.source.statuspublished
dc.subjectStructure from Motion
dc.subjectGeocoding
dc.subjectGeography
dc.titleImage Geocoding as a Service
dc.typepaper
dc.typearticle
digcom.contributor.authorisAuthorOfPublication|email:xyz@xyz.com|institution:Universidade do Minho, Portugal|Amorim, Nuno
digcom.contributor.authorisAuthorOfPublication|email:xyz1@xyz.com|institution:Universidade do Minho, Portugal|Almeida, Paulo
digcom.contributor.authorisAuthorOfPublication|email:jgr@di.uminho.pt|institution:Universidade do Minho|Rocha, Jorge Gustavo
digcom.date.embargo2018-02-18T00:00:00-08:00
digcom.identifierfoss4g/vol15/iss1/31
digcom.identifier.contextkey11584153
digcom.identifier.submissionpathfoss4g/vol15/iss1/31
dspace.entity.typePublication
relation.isJournalIssueOfPublication76edce7d-e24d-42dc-8462-4b2d83bb6774
relation.isJournalIssueOfPublication.latestForDiscovery76edce7d-e24d-42dc-8462-4b2d83bb6774
relation.isJournalOfPublication48f90458-191b-4d6a-b77f-8ca3ebb872ca
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