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A Novel Framework of Motion Error Evaluation and Correction for Monocular Microscopic Visual System

  • Binbin Zhai
  • Sheng Liu
  • Haiqiang Jin
  • Xin Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 321)

Abstract

Monocular microscopic visual system (MMVS) is generally applied in micro manipulation and 3D measurement of micro objects. However, motion errors inevitably influence the precision of 3D reconstruction of micro object in MMVS. This paper presents a novel framework of error evaluation and correction for the rotational motion to improve the measurement accuracy of MMVS. Firstly, both geometric model of single axis rotation and imaging model are built to obtain the ideal rotational motion trajectories of tracked points. Secondly, the rotational motion errors is accurately evaluated by trajectory tracking. Finally, error correction model is used to compensate the displacement error in each frame from the motion video acquired by our system. The experimental results indicate that the proposed calculating framework effectively reduces 76% of the motion errors.

Keywords

monocular microscopic visual system error evaluation trajectory tracking rotational motion 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Binbin Zhai
    • 1
  • Sheng Liu
    • 1
  • Haiqiang Jin
    • 1
  • Xin Wang
    • 1
  1. 1.College Of Computer Science and SoftwareZheJiang University of TechnologyHangZhouChina

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