Guo Jiping, Peng Xiang, Li Ameng, Liu Xiaoli, Yu Jiping
Appl Opt. 2017 Nov 1;56(31):8759-8768. doi: 10.1364/AO.56.008759.
Automatic and rapid whole-body 3D shape measurement has attracted extensive attention in recent years and been widely used in many fields. Rapid 3D reconstruction, automatic 3D registration, and dedicated system layout are critical factors to enable an excellent 3D measurement system. In this paper, we present an automatic and rapid whole- body 3D measurement system that is based on multinode 3D sensors using speckle projection. A rapid algorithm for searching homologous point pairs is suggested, which takes advantage of the optimized projective rectification and simplified subpixel matching techniques, leading to an improved time efficiency of 3D reconstruction. Meanwhile, a low-cost automatic system with a flexible setup and an improved calibration strategy are proposed, where system parameters of each node sensor can be simultaneously estimated with the assistance of a cubic and a planar target. Furthermore, an automatic range data registration strategy by employing two aided cameras is investigated. Experiment results show that the presented approach can realize automatic whole-body 3D shape measurement with high efficiency and accuracy.
近年来，自动快速全身三维形状测量引起了广泛关注，并在许多领域得到了广泛应用。快速三维重建、自动三维配准和专用系统布局是实现优秀三维测量系统的关键因素。在本文中，我们提出了一种基于多节点三维传感器散斑投影的自动快速全身三维测量系统。提出了一种快速搜索同源点对的算法，该算法利用了优化的投影校正和简化的亚像素匹配技术，提高了三维重建的时间效率。同时，提出了一种低成本的自动系统，该系统具有灵活的设置和改进的校准策略，其中每个节点传感器的系统参数可以在立方体和平板靶标的辅助下同时进行估计。此外，还研究了一种采用两个辅助相机的自动距离数据配准策略。实验结果表明，该方法能够高效、准确地实现自动全身三维形状测量。
