The 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.

Technologies for visual localization and augmented reality in smart cities

Amato G;Cardillo FA;Falchi F
2017

Abstract

The 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.
Campo DC Valore Lingua
dc.authority.anceserie GEOTECHNOLOGIES AND THE ENVIRONMENT -
dc.authority.orgunit Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI -
dc.authority.people Amato G it
dc.authority.people Cardillo FA it
dc.authority.people Falchi F it
dc.collection.id.s 8c50ea44-be95-498f-946e-7bb5bd666b7c *
dc.collection.name 02.01 Contributo in volume (Capitolo o Saggio) *
dc.contributor.appartenenza Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.appartenenza.mi 973 *
dc.date.accessioned 2024/02/21 03:35:23 -
dc.date.available 2024/02/21 03:35:23 -
dc.date.issued 2017 -
dc.description.abstracteng The 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. -
dc.description.affiliations CNR-ISTI, Pisa, Italy -
dc.description.allpeople Amato G.; Cardillo F.A.; Falchi F. -
dc.description.allpeopleoriginal Amato G.; Cardillo F.A.; Falchi F. -
dc.description.fulltext restricted en
dc.description.numberofauthors 3 -
dc.identifier.doi 10.1007/978-3-319-50518-3_20 -
dc.identifier.isbn 978-3-319-50518-3 -
dc.identifier.isi WOS:000419729100021 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/339526 -
dc.identifier.url https://link.springer.com/chapter/10.1007%2F978-3-319-50518-3_20 -
dc.language.iso eng -
dc.publisher.country CHE -
dc.publisher.name Springer International Publishing -
dc.publisher.place Switzerland -
dc.relation.alleditors Nicola Masini, Francesco Soldovieri -
dc.relation.firstpage 429 -
dc.relation.ispartofbook Sensing the Past: From artifact to historical site -
dc.relation.lastpage 434 -
dc.subject.keywords Localization -
dc.subject.keywords Augmented reality -
dc.subject.keywords Deep learning -
dc.subject.keywords Smart cities -
dc.subject.keywords Landmark recognition -
dc.subject.singlekeyword Localization *
dc.subject.singlekeyword Augmented reality *
dc.subject.singlekeyword Deep learning *
dc.subject.singlekeyword Smart cities *
dc.subject.singlekeyword Landmark recognition *
dc.title Technologies for visual localization and augmented reality in smart cities en
dc.type.driver info:eu-repo/semantics/bookPart -
dc.type.full 02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio) it
dc.type.miur 268 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 382553 -
iris.isi.extIssued 2017 -
iris.isi.extTitle Technologies for Visual Localization and Augmented Reality in Smart Cities -
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isi.authority.sdg Goal 11: Sustainable cities and communities###12091 *
isi.category EV *
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isi.category SR *
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.name Giuseppe -
isi.contributor.name Franco Alberto -
isi.contributor.name Fabrizio -
isi.contributor.researcherId F-2227-2013 -
isi.contributor.researcherId AAP-5764-2021 -
isi.contributor.researcherId J-2920-2012 -
isi.contributor.subaffiliation -
isi.contributor.subaffiliation -
isi.contributor.subaffiliation -
isi.contributor.surname Amato -
isi.contributor.surname Cardillo -
isi.contributor.surname Falchi -
isi.date.issued 2017 *
isi.description.abstracteng The 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. *
isi.description.allpeopleoriginal Amato, G; Cardillo, FA; Falchi, F; *
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isi.identifier.doi 10.1007/978-3-319-50518-3_20 *
isi.identifier.isi WOS:000419729100021 *
isi.journal.journaltitle SENSING THE PAST: FROM ARTIFACT TO HISTORICAL SITE *
isi.journal.journaltitleabbrev GEOTECH ENVIRON *
isi.language.original English *
isi.publisher.place 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES *
isi.relation.firstpage 419 *
isi.relation.lastpage 434 *
isi.relation.volume 16 *
isi.title Technologies for Visual Localization and Augmented Reality in Smart Cities *
Appare nelle tipologie: 02.01 Contributo in volume (Capitolo o Saggio)
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