Yang Yusheng, Xu Jun, Elkhuizen Willemijn S, Song Yu
Delft University of Technology, The Netherlands.
Shanghai University, China.
HardwareX. 2021 Jun 21;10:e00212. doi: 10.1016/j.ohx.2021.e00212. eCollection 2021 Oct.
Acquiring an accurate 3D scan of the human hand is a challenging task, mainly due to the complicated geometry and the instability of the hand. In this paper, we present a low-cost photogrammetry-based scanner that is designed for scanning the human hand. The scanner has fifty modules, each has a Raspberry Pi with an 8-megapixels camera. They are uniformly positioned in two parallel frames and 96% of a hand surface can be viewed by at least 3 cameras. Using the timestamp method, we synchronize the shutters of the 50 cameras within the range of 80 ms to minimize the influence of the instability of the hand. Moreover, the scanner is easy to build with its modular design, and easy to operate with a laptop that is connected to the system by WiFi. Using a 3D printed prosthetic hand, we compared the 3D scanning accuracy of the proposed scanner with the Artec Spider® scanner. The mean absolute error between the two scans is 0.62 ± 0.28 mm. It is concluded that the proposed hand scanner can be used as a low-cost yet accurate tool in many applications, such as personalized product design.
获取人手的精确三维扫描是一项具有挑战性的任务，主要是由于手部复杂的几何形状和不稳定性。在本文中，我们展示了一种基于摄影测量的低成本扫描仪，其设计用于扫描人手。该扫描仪有五十个模块，每个模块都有一个配备800万像素摄像头的树莓派。它们均匀地分布在两个平行框架中，人手表面的96%至少能被3个摄像头看到。使用时间戳方法，我们将50个摄像头的快门在80毫秒范围内同步，以尽量减少手部不稳定性的影响。此外，该扫描仪因其模块化设计易于构建，并且通过WiFi连接到系统的笔记本电脑即可轻松操作。我们使用一个3D打印的假手，将所提出的扫描仪与Artec Spider®扫描仪的三维扫描精度进行了比较。两次扫描之间的平均绝对误差为0.62±0.28毫米。结论是，所提出的手部扫描仪可作为一种低成本但精确的工具用于许多应用，如个性化产品设计。
