郑顺义, 王晓南, 马电. 一种便捷式小型物体三维重建方法[J]. 武汉大学学报 ( 信息科学版), 2015, 40(2): 147-152+158.
引用本文: 郑顺义, 王晓南, 马电. 一种便捷式小型物体三维重建方法[J]. 武汉大学学报 ( 信息科学版), 2015, 40(2): 147-152+158.
Zheng Shunyi, Wang Xiaonan, Ma Dian. A Convenient 3D Reconstruction Method of Small Objects[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 147-152+158.
Citation: Zheng Shunyi, Wang Xiaonan, Ma Dian. A Convenient 3D Reconstruction Method of Small Objects[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 147-152+158.

一种便捷式小型物体三维重建方法

A Convenient 3D Reconstruction Method of Small Objects

  • 摘要: 提出了一种方便普通民众(仅需利用手机和电脑)快速制作小型物体三维模型的方法。首先围绕物体拍摄若干张影像,然后快速恢复每一张影像的内外方位元素,使用图割法半自动提取物体的轮廓线,最后利用轮廓线信息快速生成物体的数字三维模型。通过模拟实验讨论了方法的理论精度,并通过真实实验数据验证了方法的有效性。本文方法适用于任何材质的静态物体,可以解决影像匹配或激光扫描所不能解决的三维重建问题,通过选择人工背景解决了稳健姿态恢复问题,通过算法优化降低了计算能耗。

     

    Abstract: This paper presents a convenient method allowing ordinary people to quickly make 3D models of small objects,using only a mobile phone and computer. First,we capture a number of images around the object,and then quickly calculate the internal and external parameters of each image,and semi-automatically extract contours of the object using graph cuts,and finally generate a digital 3D model using the information from the object contours. The theoretical precision of the method is discussed in relation to a simulation experiment,and then the validity of the method is verified through a real experiment. The method in the paper can be used on static objects composed of different materials,and can solve the 3D reconstruction problem where image-matching or LiDAR fails. This method solves the robust SFM problem with a suitable background,and reduces the calculatiion costs through algorithm optimization.

     

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