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Monocular Camera Tracking Curve Optimization Algorithm in Augmented Reality

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 25))

Abstract

Simultaneous localization and mapping is the key technology of augmented reality, which ensures the geometric consistency between the superimposed virtual object and the real scene. When the recognition image exists, the AR scene may be stable, but after the recognition image is deleted, the virtual object in the AR scene will become unstable. In this paper, a monocular camera tracking curve optimization algorithm is proposed. We perform preliminary optimization by least squares to ensure global smoothing. Local optimization is achieved by polynomial interpolation method that ensures the smoothness of the camera tracking curve and eliminates the jitter of virtual objects in the AR scene after removing the recognition image.

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Correspondence to Tianhan Gao .

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Gao, T., Jiang, W. (2019). Monocular Camera Tracking Curve Optimization Algorithm in Augmented Reality. In: Barolli, L., Leu, FY., Enokido, T., Chen, HC. (eds) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-02613-4_26

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  • DOI: https://doi.org/10.1007/978-3-030-02613-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02612-7

  • Online ISBN: 978-3-030-02613-4

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