Landmark Real-Time Recognition and Positioning for Pedestrian Navigation

Antonio Adan, Alberto Martin, Enrique Valero, Pilar Merchan

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

1 Citation (Scopus)

Abstract

The aim of this paper is to propose a new monocular-vision strategy for real-time positioning under augmented reality conditions. This is an important aspect to be solved in augmented reality (AR) based navigation in non-controlled environments. In this case, the position and orientation of the moving observer, who usually wears a head mounted display and a camera, must be calculated as accurately as possible in real time. The method is based on analyzing the properties of the projected image of a single pattern consisting of eight small clots which belong to a circle and one dot more at the center of it. Due to the simplicity of the pattern and the low computational cost in the image processing phase, the system is capable of working under on-line requirements. This paper presents a comparison of our strategy with other pose solutions which have been applied in AR or robotic environments.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Subtitle of host publication14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, Mexico, November 15-18, 2009. Proceedings
EditorsE. Bayro-Corrochano, J.O. Eklundh
Place of PublicationBerlin
PublisherSpringer
Pages21-28
Number of pages8
Volume5856
ISBN (Electronic)978-3-642-10268-4
ISBN (Print)978-3-642-10267-7
DOIs
Publication statusPublished - 2009
Event14th Iberoamerican Congress on Pattern Recognition - Guadalajara, Mexico
Duration: 15 Nov 200918 Nov 2009

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume5856
ISSN (Print)0302-9743

Conference

Conference14th Iberoamerican Congress on Pattern Recognition
CountryMexico
Period15/11/0918/11/09

Keywords

  • augmented reality
  • camera pose
  • landmark
  • occlusion
  • real-time
  • TRACKING

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