Vision-Based Distance and Position Estimation of Nearby Objects for Mobile Spatial Interaction

Clemens Holzmann, Matthias Hochgatterer

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

1 Citation (Scopus)

Abstract

New mobile phone technologies are enablers for the emerging field of mobile spatial interaction, which refers to the direct access and manipulation of spatially-related information and services. Typical applications include the visualization of information about historical buildings or the discovery and selection of surrounding devices, by simply pointing to the real-world objects of interest. However, a major drawback is the required augmentation of the objects or knowledge about the environment, in order to be able to distinguish at which object the user is actually aiming at. We address this issue by estimating the distance and position of arbitrary objects within a mobile phone's line of sight, solely based on the information provided by its on-board sensors. This new approach uses stereo vision to estimate the distance to nearby objects, inertial sensors to measure the displacement of the camera between successive images, as well as GPS and a digital compass to get its absolute position and orientation. In this paper, we focus on the vision-based estimation of distances, and present the results of an experiment which demonstrates its accuracy and performance.
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Intelligent User Interfaces, IUI'11
PublisherACM Press
Pages339-342
Number of pages4
ISBN (Print)9781450304191
DOIs
Publication statusPublished - 2011
Event16th International Conference on Intelligent User Interfaces (IUI 2011) - Stanford University, Palo Alto, United States
Duration: 13 Feb 201116 Feb 2011
http://www.iuiconf.org

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference16th International Conference on Intelligent User Interfaces (IUI 2011)
Country/TerritoryUnited States
CityStanford University, Palo Alto
Period13.02.201116.02.2011
Internet address

Keywords

  • Inertial sensing
  • Mobile spatial interaction
  • Stereo vision

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