Feature-based alignment method for projecting virtual content on a movable paper map

Sandy Martedi, Maki Sugimoto, Hideo Saito, Bruce Thomas

Research output: Contribution to journalArticle

Abstract

In this paper we propose a feature-based alignment method for visualizing geographical content on a movable paper map using non-calibrated projector-camera pair. In order to project correctly aligned geographical content on a movable paper map, we detect two kinds of features: printed features and projected features on a paper map. First, we print landmark points as map features on the paper map for registration purpose. We then project landmark points onto the paper map. We then detect these printed and projected features simultaneously. The transformation from the projector coordinate system to the image coordinate system is estimated using the feature correspondences. This transformation is used to warp the geographical content before the corrected projection. In succeeding frames, the features are tracked in order to update the transformation. We evaluated our method against the motion of the paper map, the camera and the projector with average projection error of 9.5 pixels.

Original languageEnglish
Pages (from-to)672-679
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Volume133
Issue number3
DOIs
Publication statusPublished - 2013

Fingerprint

Cameras
Pixels

Keywords

  • Geographical information system
  • Random dot marker method
  • Spatial augmented reality

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Feature-based alignment method for projecting virtual content on a movable paper map. / Martedi, Sandy; Sugimoto, Maki; Saito, Hideo; Thomas, Bruce.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 133, No. 3, 2013, p. 672-679.

Research output: Contribution to journalArticle

@article{37711b1d5d4d42b788059f0c07c9cb03,
title = "Feature-based alignment method for projecting virtual content on a movable paper map",
abstract = "In this paper we propose a feature-based alignment method for visualizing geographical content on a movable paper map using non-calibrated projector-camera pair. In order to project correctly aligned geographical content on a movable paper map, we detect two kinds of features: printed features and projected features on a paper map. First, we print landmark points as map features on the paper map for registration purpose. We then project landmark points onto the paper map. We then detect these printed and projected features simultaneously. The transformation from the projector coordinate system to the image coordinate system is estimated using the feature correspondences. This transformation is used to warp the geographical content before the corrected projection. In succeeding frames, the features are tracked in order to update the transformation. We evaluated our method against the motion of the paper map, the camera and the projector with average projection error of 9.5 pixels.",
keywords = "Geographical information system, Random dot marker method, Spatial augmented reality",
author = "Sandy Martedi and Maki Sugimoto and Hideo Saito and Bruce Thomas",
year = "2013",
doi = "10.1541/ieejeiss.133.672",
language = "English",
volume = "133",
pages = "672--679",
journal = "IEEJ Transactions on Electronics, Information and Systems",
issn = "0385-4221",
publisher = "The Institute of Electrical Engineers of Japan",
number = "3",

}

TY - JOUR

T1 - Feature-based alignment method for projecting virtual content on a movable paper map

AU - Martedi, Sandy

AU - Sugimoto, Maki

AU - Saito, Hideo

AU - Thomas, Bruce

PY - 2013

Y1 - 2013

N2 - In this paper we propose a feature-based alignment method for visualizing geographical content on a movable paper map using non-calibrated projector-camera pair. In order to project correctly aligned geographical content on a movable paper map, we detect two kinds of features: printed features and projected features on a paper map. First, we print landmark points as map features on the paper map for registration purpose. We then project landmark points onto the paper map. We then detect these printed and projected features simultaneously. The transformation from the projector coordinate system to the image coordinate system is estimated using the feature correspondences. This transformation is used to warp the geographical content before the corrected projection. In succeeding frames, the features are tracked in order to update the transformation. We evaluated our method against the motion of the paper map, the camera and the projector with average projection error of 9.5 pixels.

AB - In this paper we propose a feature-based alignment method for visualizing geographical content on a movable paper map using non-calibrated projector-camera pair. In order to project correctly aligned geographical content on a movable paper map, we detect two kinds of features: printed features and projected features on a paper map. First, we print landmark points as map features on the paper map for registration purpose. We then project landmark points onto the paper map. We then detect these printed and projected features simultaneously. The transformation from the projector coordinate system to the image coordinate system is estimated using the feature correspondences. This transformation is used to warp the geographical content before the corrected projection. In succeeding frames, the features are tracked in order to update the transformation. We evaluated our method against the motion of the paper map, the camera and the projector with average projection error of 9.5 pixels.

KW - Geographical information system

KW - Random dot marker method

KW - Spatial augmented reality

UR - http://www.scopus.com/inward/record.url?scp=84877755335&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877755335&partnerID=8YFLogxK

U2 - 10.1541/ieejeiss.133.672

DO - 10.1541/ieejeiss.133.672

M3 - Article

VL - 133

SP - 672

EP - 679

JO - IEEJ Transactions on Electronics, Information and Systems

JF - IEEJ Transactions on Electronics, Information and Systems

SN - 0385-4221

IS - 3

ER -