i-Street: Detection, Identification, Augmentation of Street Plates in a Touristic Mobile Application

Autor:	Carla Maria Modena, Lorenzo Porzi, Stefano Messelodi, Paul Chippendale
Rok vydání:	2015
Předmět:	Identification rate Computer science business.industry False positive paradox Augmented reality Computer vision Overlay Artificial intelligence Android (operating system) business Mobile device
Zdroj:	Image Analysis and Processing — ICIAP 2015 ISBN: 9783319232331 ICIAP (2)
DOI:	10.1007/978-3-319-23234-8_19
Popis:	Smartphone technology with embedded cameras, sensors, and powerful computational resources have made mobile Augmented Reality possible. In this paper, we present i-Street, an Android touristic application whose aim is to detect, identify and read the street plates in a video flow and then to estimate relative pose in order to accurately augment them with virtual overlays. The system was successfully tested in the historical centre of Grenoble (France), proving to be robust to outdoor illumination conditions and to device pose variance. The average identification rate in realistic laboratory tests was about 82%, remaining cases were rejected with no false positives.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b52cf6bae6943f6e14bbf9e03423f451 https://doi.org/10.1007/978-3-319-23234-8_19 Zobrazit plný text záznamu