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

基于下降图像三维地形重建的参数自适应生成

孟偲 周娜 张亚妮

孟偲, 周娜, 张亚妮等 . 基于下降图像三维地形重建的参数自适应生成[J]. 北京航空航天大学学报, 2014, 40(7): 887-892. doi: 10.13700/j.bh.1001-5965.2013.0464
引用本文: 孟偲, 周娜, 张亚妮等 . 基于下降图像三维地形重建的参数自适应生成[J]. 北京航空航天大学学报, 2014, 40(7): 887-892. doi: 10.13700/j.bh.1001-5965.2013.0464
Meng Cai, Zhou Na, Zhang Yaniet al. Adaptive parameter generation in terrain reconstruction with descent images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 887-892. doi: 10.13700/j.bh.1001-5965.2013.0464(in Chinese)
Citation: Meng Cai, Zhou Na, Zhang Yaniet al. Adaptive parameter generation in terrain reconstruction with descent images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 887-892. doi: 10.13700/j.bh.1001-5965.2013.0464(in Chinese)

基于下降图像三维地形重建的参数自适应生成

doi: 10.13700/j.bh.1001-5965.2013.0464
基金项目: 

中央高校基本科研业务费资助项目(YWF-13-JQCJ-026)

详细信息
    作者简介:

    孟偲(1977-),男,新疆沙湾人,副教授,Tsai@buaa.edu.cn.

  • 中图分类号: V11

Adaptive parameter generation in terrain reconstruction with descent images

  • 摘要: 针对基于单应性下降图像着陆区三维地形重建算法中重建参数对重建结果的影响,提出一种参数自适应生成算法计算最优重建参数.首先,根据匹配特征点对应的空间点拟合出地形近似平面,作为系列平行虚拟切分平面的参考平面,从而确定切分平面的法向和基本深度.其次,在地形近似平面两侧,分别计算特征点对对应的空间点到地形拟合平面最大距离,用于估计重建区地形高度差异.最后,根据地形高度差异和相机距地形拟合平面距离,寻找最优切分平面个数.根据这些重建参数即可计算地形重建所需单应矩阵.对比不同重建参数下的重建结果表明该参数设定方法可以达到更优重建效果.

     

  • [1] Matthies L, Olson C, Tharp G, et al.Visual localization methods for Mars rovers using lander, rover, and descent imagery[C]//Proceedings of International Symposium on Artificial Intelligence, Robotics, and Automation in Space.Tokyo:[s.n.], 1997:413-418
    [2] Matthies L, Maimone M, Johnson A, et al.Computer vision on Mars[J].International Journal of Computer Vision, 2007, 75(1): 67-92
    [3] 佟帅, 徐晓刚, 易成涛, 等.基于视觉的三维重建技术综述[J].计算机应用研究, 2011, 28(7):2411-2417 Tong Shuai, Xu Xiaogang, Yi Chengtao, et al.Overview on vision-based 3D reconstruction[J].Application Research of Computers, 2011, 28(7):2411-2417(in Chinese)
    [4] Olson C F, Abi-Rached H, Ye M, et al.Wide-baseline stereo vision for Mars rovers[C]//2003 IEEE/RSJ International Conference on Intelligent Robots and Systems.Las Vegas, NV:IEEE, 2003, 2:1302-1307
    [5] 王炜强, 徐进, 杜歆, 等.基于宽基线立体视觉的远距离三维重建[J].浙江大学学报:工学版, 2010, 44(6):1073-1078 Wang Weiqiang, Xu Jin, Du Xin, et al.Long-range 3D reconstruction based on wide-baseline stereo vision[J].Journal of Zhejiang University:Engineering Science, 2010, 44(6):1073-1078(in Chinese)
    [6] Oliensis J, Genc Y.Fast algorithms for projective multi-frame structure from motion[C]//IEEE International Conference on Computer Vision.Piscataway, NJ:IEEE, 1999:536-543
    [7] Soatto S, Perona P.Reducing "structure from motion":a general framework for dynamic vision.1.modeling[J].Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1998, 20(9):933-942
    [8] Tomasi C, Kanade T.Shape and motion from image streams under orthography:a factorization method[J].International Journal of Computer Vision, 1992, 9(2):137-154
    [9] Sturm P, Triggs B.A factorization based algorithm for multi-image projective structure and motion[C]//Computer Vision—ECCV '96.Heidelberg, Berlin:Springer, 1996:709-720
    [10] Xue X, Meng C, Jia Y.An improved method for terrain mapping from descent images[C]//Foundations of Intelligent Systems.Heidelberg, Berlin:Springer, 2012:547-555
    [11] Li R, Ma F, Xu F, et al.Mars rover localization using descent and rover imagery-result of the field test at Silver Lake, CA[C/CD]//ASPRS Annual Conference.Washington DC:ASPRS, 2000:22-26
    [12] Ma F, Di K, Li R, et al.Incremental mars rover localization using descent and rover imagery[C/CD]//ASPRS Annual Conference, St.Louis, Mo:ASPRS, 2001:25-27
    [13] Xiong Y, Olson C F, Matthies L H.Computing depth maps from descent images[J].Machine Vision and Applications, 2005, 16(3): 139-147
    [14] 裴明涛, 贾云德. 摄像机沿光轴运动下的场景三维重建[J].计算机辅助设计与图形学学报, 2005, 17(3):534-539 Pei Mingtao, Jia Yunde.3d reconstruction under camera motion along optic axis[J].Journal of Computer Aided Design and Computer Graphics, 2005, 17(3):534-539(in Chinese)
    [15] 张大志, 王勇涛, 田金文, 等.基于单目视觉系统的远距离场景重建算法研究[J].宇航学报, 2008, 29(1):289-294 Zhang Dazhi, Wang Yongtao, Tian Jinwen, et al.Efficient 3D reconstruction using monocular vision[J].Journal of Astronautics 2008, 29(1):289-294(in Chinese)
    [16] Meng C, Zhou N, Xue X, et al.Homography-based depth recovery with descent images[J].Machine Vision and Applications, 2013, 24(5):1093-1106
  • 加载中
计量
  • 文章访问数:  809
  • HTML全文浏览量:  2
  • PDF下载量:  511
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-08-12
  • 刊出日期:  2014-07-20

目录

    /

    返回文章
    返回
    常见问答