留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于单视点调节相机模型的水下图像三维重构

魏迎梅 康来

魏迎梅, 康来. 基于单视点调节相机模型的水下图像三维重构[J]. 北京航空航天大学学报, 2015, 41(11): 2017-2022. doi: 10.13700/j.bh.1001-5965.2015.0059
引用本文: 魏迎梅, 康来. 基于单视点调节相机模型的水下图像三维重构[J]. 北京航空航天大学学报, 2015, 41(11): 2017-2022. doi: 10.13700/j.bh.1001-5965.2015.0059
WEI Yingmei, KANG Lai. Image-based underwater 3D reconstruction with single viewpoint adjustment camera model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2017-2022. doi: 10.13700/j.bh.1001-5965.2015.0059(in Chinese)
Citation: WEI Yingmei, KANG Lai. Image-based underwater 3D reconstruction with single viewpoint adjustment camera model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2017-2022. doi: 10.13700/j.bh.1001-5965.2015.0059(in Chinese)

基于单视点调节相机模型的水下图像三维重构

doi: 10.13700/j.bh.1001-5965.2015.0059
基金项目: 国家自然科学基金(61402487)
详细信息
    作者简介:

    魏迎梅(1972-),女,甘肃兰州人,教授,weiyingmei126@126.com

    通讯作者:

    康来(1983-),男,四川安岳人,讲师,博士,lkang.vr@gmail.com,主要研究方向为计算机视觉与虚拟现实技术.

  • 中图分类号: TP391

Image-based underwater 3D reconstruction with single viewpoint adjustment camera model

  • 摘要: 水下图像成像过程中,每个场景点所对应的光线在传播过程中均经过多种折射率不同的介质,因此水下图像会产生折射变形,导致传统基于单视点相机模型的水下图像三维重构方法精度极大降低.在理论分析一个新的单视点调节模型对水下图像折射变形的补偿能力的基础上,提出一种高效、自动的水下图像三维重构及其非线性优化方法.为了验证该方法的性能,利用合成数据和真实图像对其进行测试,并依据重构有效性、重构误差等定量指标考察分析了实验结果.实验结果表明,提出的多视图水下三维重构方法可有效补偿水下场景成像空间变形,进而显著提高传统基于单视点相机模型的水下三维重构质量.

     

  • [1] Hartley R, Zisserman A.Multiple view geometry in computer vision[M].2nd ed.New York:Cambridge University Press, 2004:262-276.
    [2] Chari V, Sturm P.Multiple-view geometry of the refractive plane[C]//Proceedings of British Machine Vision Conference (BMVC).London:BMVA, 2009:1-11.
    [3] Chang Y, Chen T.Multi-view 3D reconstruction for scenes under the refractive plane with known vertical direction[C]//Proceedings of IEEE International Conference on Computer Vision (ICCV).Piscataway, NJ:IEEE Press, 2011:351-358.
    [4] Treibitz T, Schechner Y Y, Singh H.Flat refractive geometry[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Piscataway, NJ:IEEE Press, 2008:1-8.
    [5] Sedlazeck A, Koch R.Calibration of housing parameters for underwater stereo-camera rigs[C]//Proceedings of British Machine Vision Conference (BMVC).London:BMVA, 2011:1-11.
    [6] Agrawal A, Ramalingam S, Taguchi Y, et al.A theory of multi-layer flat refractive geometry[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Piscataway, NJ:IEEE Press, 2012:3346-3353.
    [7] Kunz C, Singh H.Hemispherical refraction and camera calibration in underwater vision[C]//Proceedings of OCEANS.Piscataway, NJ:IEEE Press, 2008:1-7.
    [8] Telem G, Filin S.Photogrammetric modeling of underwater environments[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(5):433-444.
    [9] Glaeser G, Schrocker H P.Reflections on refractions[J].Journal for Grometry and Graphics, 2000, 4(1):1-18.
    [10] Snavely N, Seitz S M, Szeliski R.Modeling the world from internet photo collections[J].International Journal of Computer Vision, 2008, 80(2):189-210.
    [11] Triggs B, Mclauchlan P, Hartley R, et al.Bundle adjustment:A modern synthesis[C]//Vision Algorithms:Theory and Practice, LNCS, 2000:298-372.
    [12] NETPLEX.POVRay[EB/OL].Williamstown, Victoria:Persistence of Vision Raytracer Pty.Ltd.[2015-01-20].http://www.povray.org/.
    [13] Lourakis M I A, Argyros A A.SBA:A software package for generic sparse bundle adjustment[J].ACM Transactions on Mathematical Software, 2009, 36(1):1-30.
    [14] Konolige K.Sparse sparse bundle adjustment[C]//Proceedings of British Machine Vision Conference (BMVC).London:BMVA, 2010:1-11.
    [15] Agarwal S, Snavely N, Seitz S M, et al.Bundle adjustment in the large[C]//Proceedings of European conference on Computer vision (ECCV):Part Ⅱ.London:Springer-Verlag, 2010:29-42.
    [16] Wu C, Agarwal S, Curless B, et al.Multicore bundle adjustment[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Piscataway, NJ:IEEE Press, 2011:3057-3064.
  • 加载中
计量
  • 文章访问数:  1047
  • HTML全文浏览量:  89
  • PDF下载量:  591
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-01-29
  • 修回日期:  2015-05-14
  • 网络出版日期:  2015-11-20

目录

    /

    返回文章
    返回
    常见问答