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

Gautier Minster, Guillaume Moreau, Hideo Saito

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ88-93
ページ数6
ISBN(印刷版)9781467384711
DOI
出版ステータスPublished - 2015 12 2
イベント14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 - Fukuoka, Japan
継続期間: 2015 9 292015 10 3

Other

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

ASJC Scopus subject areas

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

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