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Global fusion of generalized camera model for efficient large-scale structure from motion

基于广义摄像机模型的全局式大场景三维重建

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摘要

创新点

  1. 1、

    全局式融合广义摄像机模型重建大规模城市街景和倾斜摄影数据, 使得误差均摊在整个外极几何图, 不存在因为误差累积而造成的场景漂移。

  2. 2、

    捆绑调整的次数极大地减少, 使得整个重建系统速度相对于增量式重建得到了巨大的提升。

  3. 3、

    充分融合有噪成像信息 (比如 GPS、 指南针夹角等) 来提升重建系统的速度和精度。

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References

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Author information

Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Hainan Cui, Shuhan Shen & Zhanyi Hu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Zhanyi Hu

Authors
  1. Hainan Cui
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  2. Shuhan Shen
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  3. Zhanyi Hu
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Corresponding author

Correspondence to Shuhan Shen.

Additional information

The authors declare that they have no conflict of interest.

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Cui, H., Shen, S. & Hu, Z. Global fusion of generalized camera model for efficient large-scale structure from motion. Sci. China Inf. Sci. 60, 038101 (2017). https://doi.org/10.1007/s11432-015-0792-1

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  • DOI: https://doi.org/10.1007/s11432-015-0792-1

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