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

Hideaki Uchiyama; Hideo Saito; Myriam Servières; Guillaume Moreau

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

Hideaki Uchiyama, Hideo Saito, Myriam Servières, Guillaume Moreau

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages	382-385
Number of pages	4
Publication status	Published - 2009
Event	11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan Duration: 2009 May 20 → 2009 May 22

Publication series

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

Other

Other	11th IAPR Conference on Machine Vision Applications, MVA 2009
Country/Territory	Japan
City	Yokohama
Period	09/5/20 → 09/5/22

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

AR GIS on a physical map based on map image retrieval using LLAH tracking. / Uchiyama, Hideaki; Saito, Hideo; Servières, Myriam et al.

Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009. 2009. p. 382-385 (Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009, pp. 382-385, 11th IAPR Conference on Machine Vision Applications, MVA 2009, Yokohama, Japan, 09/5/20.

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AB - 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.

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

Abstract

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ASJC Scopus subject areas

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