AR GIS on a physical map based on map image retrieval using LLAH tracking

Hideaki Uchiyama, Hideo Saito, Myriam Servières, Guillaume Moreau

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

16 Citations (Scopus)

Abstract

This paper presents a method for retrieving a corresponding map of a captured map image from a map database. Our method is inspired from LLAH based Document Image Retrieval (DIR). LLAH is a method for recognizing a point by using a LLAH feature composed of its neighbor points. Since Map Image Retrieval (MIR) is achieved by analyzing distribution of intersections, the LLAH feature is used in order to describe the distribution. In our method, registration and retrieval in LLAH based DIR are improved for reducing the computational costs of the retrieval. In addition, the LLAH features are updated while a camera is moving. Our improvements enable MIR to the case of strong camera tilting, occlusion and fewer intersections.

Original languageEnglish
Title of host publicationProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages382-385
Number of pages4
Publication statusPublished - 2009 Dec 1
Event11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
Duration: 2009 May 202009 May 22

Publication series

NameProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
CountryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Uchiyama, H., Saito, H., Servières, M., & Moreau, G. (2009). AR GIS on a physical map based on map image retrieval using LLAH tracking. In Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009 (pp. 382-385). (Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009).