A camera based location estimation using point clouds

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

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

Abstract

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.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages43-50
Number of pages8
Publication statusPublished - 2012 Dec 1
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: 2012 Nov 262012 Nov 30

Publication series

Name33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Volume1

Conference

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

Keywords

  • Camera calibration
  • Image matching
  • Location estimation
  • Panorama image
  • Point cloud

ASJC Scopus subject areas

  • Information Systems

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