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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 88-93 |
| Number of pages | 6 |
| ISBN (Print) | 9781467384711 |
| DOIs | |
| Publication status | Published - 2015 Dec 2 |
| Event | 14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 - Fukuoka, Japan Duration: 2015 Sep 29 → 2015 Oct 3 |
Other
| Other | 14th IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015 |
|---|---|
| Country | Japan |
| City | Fukuoka |
| Period | 15/9/29 → 15/10/3 |
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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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Geolocation for printed maps using line segment-based SIFT-like feature matching
AU - Minster, Gautier
AU - Moreau, Guillaume
AU - Saito, Hideo
PY - 2015/12/2
Y1 - 2015/12/2
N2 - 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.
AB - 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.
KW - Geolocation
KW - GIS
KW - Local descriptor
KW - Map registration
KW - Printed map
UR - http://www.scopus.com/inward/record.url?scp=84960399266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960399266&partnerID=8YFLogxK
U2 - 10.1109/ISMARW.2015.24
DO - 10.1109/ISMARW.2015.24
M3 - Conference contribution
AN - SCOPUS:84960399266
SN - 9781467384711
SP - 88
EP - 93
BT - Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops, ISMARW 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -