计算机应用 ›› 2011, Vol. 31 ›› Issue (06): 1566-1568.DOI: 10.3724/SP.J.1087.2011.01566

• 图形图像技术 • 上一篇    下一篇

基于序列图像的鲁棒三维重建方法

杨军1,石传奎2,党建武3   

  1. 1. 兰州交通大学 研究生学院,兰州 730070
    2. 兰州交通大学 数理与软件工程学院,兰州 730070
    3. 兰州交通大学 电子与信息工程学院,兰州 730070
  • 收稿日期:2010-11-25 修回日期:2011-01-24 发布日期:2011-06-20 出版日期:2011-06-01
  • 通讯作者: 杨军
  • 作者简介:杨军(1973-),男(回族),宁夏吴忠人,副教授,博士,主要研究方向:计算机图形学、虚拟现实、数字图像处理;石传奎(1985-),男,山东临沂人,硕士研究生,主要研究方向:数字图像处理、地理信息系统;党建武(1963-),男,陕西富平人,教授,博士生导师,博士,主要研究方向:神经网络、智能信息处理。
  • 基金资助:
    国家自然科学基金资助项目;兰州交通大学“青蓝”人才工程基金资助计划项目

Robust 3D reconstruction method based on image sequence

YANG Jun1,SHI Chuankui2,DANG Jianwu3   

  1. 1. School of Graduate Studies, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
    2. School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
    3. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
  • Received:2010-11-25 Revised:2011-01-24 Online:2011-06-20 Published:2011-06-01
  • Contact: YANG Jun

摘要: 提出了基于序列图像的鲁棒三维重建方法。首先利用两幅图像的最优参数估计,然后添加新图像并采用稀疏调整,减少图像坐标测量值的最小几何误差。通过对三维结构和摄像机参数进行全局优化处理,以提高重建的鲁棒性。实验结果表明,该方法提高了重建的精度和鲁棒性,并真实地再现了物体的三维模型。

关键词: 三维重建, 鲁棒估计, 稀疏捆集调整, 序列图像, 全局优化

Abstract: A robust 3D reconstruction method based on image sequence was presented. First, an optimal parameter estimation of two images was applied. Then, along with the number of images increasing, the sparse bundle adjustment was adopted to reduce the minimum geometric error of the measurements of image coordinates. Finally, the 3D structure and camera parameters were processed with a global optimization method to improve the robustness of the reconstruction. The experiment results demonstrate that the proposed method can effectively improve the accuracy and robustness of reconstruction, and factually represent 3D model of objects.

Key words: 3D reconstruction, robust estimation, sparse bundle adjustment, image sequence, global optimization