Indoor Image Geocoding using Synthetic Views

Simple item page
dc.contributor.authorAmorim, Nuno Mourão deen_US
dc.contributor.authorRocha, Jorge Gustavoen_US
dc.contributor.editorGoncalves, Alexandrino and Fernandes, Antonio Ramires and Rodrigues, Nunoen_US
dc.date.accessioned2020-12-11T13:40:46Z
dc.date.available2020-12-11T13:40:46Z
dc.date.issued2020
dc.description.abstractThe Global Positioning System is well known for not reaching indoor environments. Several Indoor Positioning System's have been proposed, but most of these solutions either have high accuracy errors or use expensive material to attenuate positioning errors. In this paper we propose a Computer Vision routine which is able to compute the location and orientation on indoor environments. This routine is based on Structure from Motion, an incremental algorithm which recovers the 3D structure from related photographs. The 3D structures generated are geocoded, stored in a database, and new photographs can be added at any time. By combining these 3D structures with the already existing Synthetic Views method for fast location recognition, we are able to compute the indoor GPS coordinates and orientation of new photographs in less than a second.en_US
dc.description.sectionheadersVisão por Computador e Realidade Aumentada
dc.description.seriesinformation21o Encontro Português de Computação Gráfica
dc.identifier.doi10.2312/pt.20141323
dc.identifier.isbn978-3-03868-130-4
dc.identifier.pages167-173
dc.identifier.urihttps://doi.org/10.2312/pt.20141323
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20141323
dc.publisherThe Eurographics Associationen_US
dc.subjectIndoor Positioning System
dc.subjectGeocoding
dc.subjectStructure from Motion
dc.subjectSynthetic Views
dc.titleIndoor Image Geocoding using Synthetic Viewsen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
167-173.pdf
Size:
9.68 MB
Format:
Adobe Portable Document Format
Download
Collections
Portuguese Meeting on Computer Graphics 2014