A camera based location estimation using point clouds

Masafumi Nakagawa, Daisuke Kato, Hirotaka Endo, Kenta Ochiai, Anna Nakanishi

研究成果: Conference contribution

抄録

When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.

本文言語English
ホスト出版物のタイトル33rd Asian Conference on Remote Sensing 2012, ACRS 2012
ページ43-50
ページ数8
出版ステータスPublished - 2012 12 1
イベント33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
継続期間: 2012 11 262012 11 30

出版物シリーズ

名前33rd Asian Conference on Remote Sensing 2012, ACRS 2012
1

Conference

Conference33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period12/11/2612/11/30

ASJC Scopus subject areas

  • Information Systems

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