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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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  • 3 Citations

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

  1. 1

    Yin C T, Zhang X, Hui C, et al. A literature survey on smart cities. Sci China Inf Sci, 2015, 58: 100102

  2. 2

    Cui H N, Shen S H, Gao W, et al. Efficient largescale structure from motion by fusing auxiliary imaging information. IEEE Trans Image Process, 2015, 22: 3561–3573

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    Klingner B, Martin D, Roseborough J. Street view motion–from–structure–from–motion. In: Proceedings of IEEE International Conference on Computer Vision (ICCV), Sydeney, 2013. 953–960

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    Sweeney C, Fragoso V, Höllerer T, et al. gDLS: a scalable solution to the generalized pose and scale problem. In: Proceedings of European Conference on Computer Vision (ECCV). Berlin: Springer, 2014. 16–31

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    Torii A, Havlena M, Pajdla T. From google street view to 3D city models. In: Proceedings of IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009. 2188–2195

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    Noah S, Steven S M, Richard S. Modeling the world from Internet photo collections. Int J Comput Vision, 2008, 80: 189–210

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Author information

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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关键词

  • 广义摄像机模型
  • 摄像机标定
  • 有噪成像信息融合
  • 大场景三维重建
  • 从运动恢复结构