Multi-sensor augmented reality tracking based on robot hand-eye calibration

Yang Zhang, Lin Li, Ya Zhou*, Tao Su, Jin Tao Ma, Xiao Ming Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Calibration of coordinate systems between cameras and world coordinate system is of key importance in augmented reality. In this paper, a multi-sensor mechanical tracking method is proposed based on robot hand-eye calibration. The original camera pose estimation is obtained using computer vision algorithm by improved orthogonal iteration. In tracking process, the camera extrinsic parameters, i.e. rotation and translation matrixes are got by rotary angles of sensors mounted on the multi-arm mechanical system. Users can observe augmented scene on the video see-through display set on the end of the arms and move in six degree of freedom by linkage motion. The tracking accuracy and test application are presented.

Original languageEnglish
Title of host publicationAffective Computing and Intelligent Interaction
Pages51-57
Number of pages7
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Affective Computing and Intelligent Interaction, ICACII 2012 - Taipei, Taiwan, Province of China
Duration: 27 Feb 201228 Feb 2012

Publication series

NameAdvances in Intelligent and Soft Computing
Volume137 AISC
ISSN (Print)1867-5662

Conference

Conference2012 International Conference on Affective Computing and Intelligent Interaction, ICACII 2012
Country/TerritoryTaiwan, Province of China
CityTaipei
Period27/02/1228/02/12

Keywords

  • Augmented reality
  • Hand-eye calibration
  • Tracking

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Zhang, Y., Li, L., Zhou, Y., Su, T., Ma, J. T., & Hu, X. M. (2012). Multi-sensor augmented reality tracking based on robot hand-eye calibration. In Affective Computing and Intelligent Interaction (pp. 51-57). (Advances in Intelligent and Soft Computing; Vol. 137 AISC). https://doi.org/10.1007/978-3-642-27866-2_7