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Error analysis of rigid body posture measurement system based on circular feature points

  • Harbin Institute of Technology

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

Abstract

For monocular vision pose parameters determine the problem, feature-based target feature points on the plane quadrilateral, an improved two-stage iterative algorithm is proposed to improve the optimization of rigid body posture measurement calculating model. Monocular vision rigid body posture measurement system is designed; experimentally in each coordinate system determined coordinate a unified method to unify the each feature point measure coordinates; theoretical analysis sources of error from rigid body posture measurement system simulation experiments. Combined with the actual experimental analysis system under the condition of simulation error of pose accuracy of measurement, gives the comprehensive error of measurement system, for improving measurement precision of certain theoretical guiding significance.

Original languageEnglish
Title of host publicationSeventh International Conference on Machine Vision, ICMV 2014
EditorsBranislav Vuksanovic, Jianhong Zhou, Antanas Verikas, Petia Radeva
PublisherSPIE
ISBN (Electronic)9781628415605
DOIs
StatePublished - 2015
Event7th International Conference on Machine Vision, ICMV 2014 - Milan, Italy
Duration: 19 Nov 201421 Nov 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9445
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th International Conference on Machine Vision, ICMV 2014
Country/TerritoryItaly
CityMilan
Period19/11/1421/11/14

Keywords

  • Monocular vision
  • coplanar feature points
  • error analysis
  • pose measurement

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