Indoor Image Geocoding using Synthetic Views
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The 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.
Description
@inproceedings{10.2312:pt.20141323,
booktitle = {21o Encontro Português de Computação Gráfica},
editor = {Goncalves, Alexandrino and Fernandes, Antonio Ramires and Rodrigues, Nuno},
title = {{Indoor Image Geocoding using Synthetic Views}},
author = {Amorim, Nuno Mourão de and Rocha, Jorge Gustavo},
year = {2020},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-130-4},
DOI = {10.2312/pt.20141323}
}