Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in volume
TitoloTechnologies for visual localization and augmented reality in smart cities
Anno di pubblicazione2017
  • Elettronico
  • Cartaceo
Tipologia di contributo in volumeCapitolo
Autore/iAmato G.; Cardillo F.A.; Falchi F.
Affiliazioni autoriCNR-ISTI, Pisa, Italy
Autori CNR e affiliazioni
  • inglese
SintesiThe widespread diffusion of smart devices, such as smartphones and tablets, and the new emerging trend of wearable devices, such as smart glasses and smart watches, has pushed forward the development of applications where the user can interact relying on his or her position and field of view. In this way, users can also receive additional information in augmented reality, that is, seeing the information through the smart device, overlaid on top of the real scene. The GPS or the compass can be used to localize the user when augmented reality has to be provided with scenes of large size, for instance, squares or large buildings. However, when augmented reality has to be offered for enriching the view of small objects or small details of larger objects, for instance, statues, paintings, or epigraphs, a more precise positioning is needed. Visual object recognition and tracking technologies offer very detailed and fine-grained positioning capabilities. This chapter discusses the techniques enabling a precise positioning of the user and the subsequent experience in augmented reality, focusing on algorithms for image matching and homography estimation between the images seen by smart devices and images representing objects of interest.
Lingua sintesieng
Altra sintesi-
Lingua altra sintesi-
Pagine da429
Pagine a434
Pagine totali-
Serie/CollanaGeotechnologies and the environment (Print)
Attiva dal 2009
Editore: Springer international - Cham
Paese di pubblicazione: Svizzera
Lingua: inglese
ISSN: 2365-0575
Titolo chiave: Geotechnologies and the environment (Print)
Titolo proprio: Geotechnologies and the environment
Titolo del volumeSensing the Past: From artifact to historical site
Numero volume della serie/collana16
Curatore/i del volumeNicola Masini, Francesco Soldovieri
  • Springer International Publishing, Switzerland (Svizzera)
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000419729100021)
Parole chiaveLocalization, Augmented reality, Deep learning, Smart cities, Landmark recognition
Link (URL, URI)
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • ISTI — Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
Moduli CNR-
Progetti Europei-
  • Technologies for visual localization and augmented reality in smart cities