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.
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Zhai, B., Liu, S., Jin, H., Wang, X. (2012). A Novel Framework of Motion Error Evaluation and Correction for Monocular Microscopic Visual System. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_25
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DOI: https://doi.org/10.1007/978-3-642-33506-8_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33505-1
Online ISBN: 978-3-642-33506-8
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