iNavigation: an image based indoor navigation system

aut.embargoNoen_NZ
aut.thirdpc.containsNoen_NZ
aut.thirdpc.permissionNoen_NZ
aut.thirdpc.removedNoen_NZ
dc.contributor.advisorYan, Wei Qi
dc.contributor.advisorTegginmath, Shoba
dc.contributor.authorWang, Linfeng
dc.date.accessioned2012-11-21T22:47:27Z
dc.date.available2012-11-21T22:47:27Z
dc.date.copyright2012
dc.date.created2012
dc.date.issued2012
dc.date.updated2012-11-21T12:12:26Z
dc.description.abstractImage-based navigation techniques attract much attention as a powerful alternative to traditional map-based navigation. The Google Street View, which gets a mixed reception is one such technique featured in Google Map that allows users to navigate through large scale outdoor environment with 360 degree imagery. However, the Google Street View can not provide timely updates because it requires immense data, and this technique involving a panoramic camera has not been extended to indoor environment due to its data collection approach. This thesis proposes a convenient and efficient image-based indoor navigation web application designed for mobile phones. It utilizes ordinary photographs and navigation information, rather than the panoramic view used in Google Street View, to guide people through the building. Our system implements SIFT feature detection and ANN search to provide timely positioning service. It also can roughly locate a query image on the map by using IPM (Inverse Perspective Mapping), if the query image is taken following certain rules. Thus it enables interactive navigation and knowledge sharing among users.en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/4743
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.rights.accessrightsOpenAccess
dc.subjectIndoor navigationen_NZ
dc.subjectImage-baseden_NZ
dc.subjectSIFTen_NZ
dc.subjectIPMen_NZ
dc.subjectANN searchen_NZ
dc.subjectWeb applicationen_NZ
dc.subjectIntelligent navigationen_NZ
dc.titleiNavigation: an image based indoor navigation systemen_NZ
dc.typeThesis
thesis.degree.discipline
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelMasters Theses
thesis.degree.nameMaster of Computer and Information Sciencesen_NZ
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