Augmenting off-the-shelf paper maps using intersection detection and geographical information systems

Abstract : This paper presents our recent research on augmented maps where unprepared paper maps are used and Geographic Information System serves both as reference database and augmentation data. We use road intersections to register paper map and GIS so several paper maps of the same city whatever their styles and colors can be augmented using the same reference database. We present a new road extraction method to get better road intersection for a quick initialization and a faster method to register maps and GIS. Different maps are used to demonstrate the effectiveness of our method.
Keywords : GIS
Type de document :
Communication dans un congrès
2015 14th IAPR International Conference on Machine Vision Applications (MVA), May 2015, Tokyo, Japan. IEEE, pp.190-193, 2015 14th IAPR International Conference on Machine Vision Applications (MVA 2015). 〈https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7140197〉. 〈10.1109/MVA.2015.7153164〉
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https://hal.archives-ouvertes.fr/hal-01812793
Contributeur : Jean-Marie Normand <>
Soumis le : lundi 11 juin 2018 - 18:37:09
Dernière modification le : vendredi 14 septembre 2018 - 09:56:10

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Liming Yang, Jean-Marie Normand, Guillaume Moreau. Augmenting off-the-shelf paper maps using intersection detection and geographical information systems. 2015 14th IAPR International Conference on Machine Vision Applications (MVA), May 2015, Tokyo, Japan. IEEE, pp.190-193, 2015 14th IAPR International Conference on Machine Vision Applications (MVA 2015). 〈https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7140197〉. 〈10.1109/MVA.2015.7153164〉. 〈hal-01812793〉

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