郑顺义, 张祖勋, 翟瑞芳. 基于非量测相机的复杂物体三维重建[J]. 武汉大学学报 ( 信息科学版), 2008, 33(5): 446-449.
引用本文: 郑顺义, 张祖勋, 翟瑞芳. 基于非量测相机的复杂物体三维重建[J]. 武汉大学学报 ( 信息科学版), 2008, 33(5): 446-449.
ZHENG Shunyi, ZHANG Zuxun, ZHAI Ruifang. 3D Reconstruction of Complex Objects Based on Non-metric Image[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 446-449.
Citation: ZHENG Shunyi, ZHANG Zuxun, ZHAI Ruifang. 3D Reconstruction of Complex Objects Based on Non-metric Image[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 446-449.

基于非量测相机的复杂物体三维重建

3D Reconstruction of Complex Objects Based on Non-metric Image

  • 摘要: 针对复杂物体的三维重建,提出了利用非量测相机进行复杂物体的三维表面几何信息的获取和几何建模。为了便于获取影像,设计了一个旋转平台,可以利用旋转平台上的平面控制格网板方便地进行相机标定;对于获取的重建影像,采用多基线影像匹配自动获取影像间的同名特征,随后利用区域网光束法平差进行相关的解算,得到物体表面密集的点云;最后利用基于特征点在影像上的可见性信息构建物体的表面模型。实际数据的试验表明,该方法是可行的、有效的。

     

    Abstract: A reconstruction method for complex object is developed using non-metric images.Firstly,a rotatable platform is designed to capture images and a planar grid board on its top is for camera calibration.With the help of the platform,images are captured and then processed with multi-baseline image matching algorithm to produce corresponding point features.Also benefiting from the rotation platform,the initial value of images' external parameter can be obtained.All these parameters and coordinates of corresponding point feature are seen as initial values for the block bundle adjustment program and then point clouds and accurate image parameters are obtained.In the end,a vision constrained Delaunay triangulation algorithm is used to produce surface model of the object.The method includes artful hardware design,efficient image matching method and rational 3D surface construction approach.Experiment results show that it is feasible and effective.

     

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