一种便捷式小型物体三维重建方法

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。

A Convenient 3D Reconstruction Method of Small Objects

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.