Geolocation for printed maps using line segment-based SIFT-like feature matching

Gautier Minster, Guillaume Moreau, Hideo Saito

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

1 Citation (Scopus)

Abstract

This paper presents a method for the geolocation of printed maps. It enables the registration of unprepared maps with a Geographical Information System (GIS) database, and can for example be used as a first step to augment an unknown map. We define and match local road pattern descriptors, which are similar to SIFT descriptors [6], but adapted to the case of simple textureless line segments. Using a processing pipeline commonly encountered in the feature-point based matching of texture images - composed of offline description and indexing, followed by an online description, matching and robust transformation estimation - we show that local descriptors can successfully register unprepared maps using only geographic features and no texture information. Our method is scale and rotation invariant, and circumvents the two hurdles that are the level-of-detail, and the changing colormaps and textures, allowing the processing of large classes of printed maps.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-93
Number of pages6
ISBN (Print)9781467384711
DOIs
Publication statusPublished - 2015 Dec 2
Event14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 - Fukuoka, Japan
Duration: 2015 Sep 292015 Oct 3

Other

Other14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015
CountryJapan
CityFukuoka
Period15/9/2915/10/3

Fingerprint

Textures
Processing
Information systems
Pipelines

Keywords

  • Geolocation
  • GIS
  • Local descriptor
  • Map registration
  • Printed map

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Minster, G., Moreau, G., & Saito, H. (2015). Geolocation for printed maps using line segment-based SIFT-like feature matching. In Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 (pp. 88-93). [7344764] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMARW.2015.24

Geolocation for printed maps using line segment-based SIFT-like feature matching. / Minster, Gautier; Moreau, Guillaume; Saito, Hideo.

Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 88-93 7344764.

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

Minster, G, Moreau, G & Saito, H 2015, Geolocation for printed maps using line segment-based SIFT-like feature matching. in Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015., 7344764, Institute of Electrical and Electronics Engineers Inc., pp. 88-93, 14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015, Fukuoka, Japan, 15/9/29. https://doi.org/10.1109/ISMARW.2015.24
Minster G, Moreau G, Saito H. Geolocation for printed maps using line segment-based SIFT-like feature matching. In Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 88-93. 7344764 https://doi.org/10.1109/ISMARW.2015.24
Minster, Gautier ; Moreau, Guillaume ; Saito, Hideo. / Geolocation for printed maps using line segment-based SIFT-like feature matching. Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 88-93
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