AR city representation system based on map recognition using topological information

Hideaki Uchiyama, Hideo Saito, Myriam Servières, Guillaume Moreau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a system for overlaying 3D GIS data information such as 3D buildings onto a 2D physical urban map. We propose a map recognition framework by analysis of distribution of local intersections in order to recognize the area of the physical map from a whole map. The retrieval of the geographical area described by the physical map is based on a hashing scheme, which is called LLAH. In the results, we will show some applications augmenting additional information on the map.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages128-135
Number of pages8
Volume5622 LNCS
DOIs
Publication statusPublished - 2009
Event3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009 - San Diego, CA, United States
Duration: 2009 Jul 192009 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5622 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009
CountryUnited States
CitySan Diego, CA
Period09/7/1909/7/24

Fingerprint

Hashing
Geographic information systems
Retrieval
Intersection
Buildings
Framework

Keywords

  • Augmented Reality
  • GIS
  • LLAH

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Uchiyama, H., Saito, H., Servières, M., & Moreau, G. (2009). AR city representation system based on map recognition using topological information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5622 LNCS, pp. 128-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5622 LNCS). https://doi.org/10.1007/978-3-642-02771-0_15

AR city representation system based on map recognition using topological information. / Uchiyama, Hideaki; Saito, Hideo; Servières, Myriam; Moreau, Guillaume.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5622 LNCS 2009. p. 128-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5622 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Uchiyama, H, Saito, H, Servières, M & Moreau, G 2009, AR city representation system based on map recognition using topological information. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5622 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5622 LNCS, pp. 128-135, 3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009, San Diego, CA, United States, 09/7/19. https://doi.org/10.1007/978-3-642-02771-0_15
Uchiyama H, Saito H, Servières M, Moreau G. AR city representation system based on map recognition using topological information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5622 LNCS. 2009. p. 128-135. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02771-0_15
Uchiyama, Hideaki ; Saito, Hideo ; Servières, Myriam ; Moreau, Guillaume. / AR city representation system based on map recognition using topological information. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5622 LNCS 2009. pp. 128-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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