Li Beiwen, Zhang Song
Opt Express. 2017 Oct 30;25(22):27270-27282. doi: 10.1364/OE.25.027270.
Scientific research of a stabilized flapping flight process (e.g. hovering) has been of great interest to a variety of fields including biology, aerodynamics, and bio-inspired robotics. Different from the current passive photogrammetry based methods, the digital fringe projection (DFP) technique has the capability of performing dense superfast (e.g. kHz) 3D topological reconstructions with the projection of defocused binary patterns, yet it is still a challenge to measure a flapping flight process with the presence of rapid flapping wings. This paper presents a novel absolute 3D reconstruction method for a stabilized flapping flight process. Essentially, the slow motion parts (e.g. body) and the fast-motion parts (e.g. wings) are segmented and separately reconstructed with phase shifting techniques and the Fourier transform, respectively. The topological relations between the wings and the body are utilized to ensure absolute 3D reconstruction. Experiments demonstrate the success of our computational framework by testing a flapping wing robot at different flapping speeds.
稳定扑翼飞行过程(如悬停)的科学研究在包括生物学、空气动力学和仿生机器人学等多个领域引起了极大兴趣。与当前基于被动摄影测量的方法不同,数字条纹投影(DFP)技术能够通过散焦二进制图案的投影进行密集超快速(如kHz)三维拓扑重建,然而,在存在快速扑动翅膀的情况下测量扑翼飞行过程仍然是一项挑战。本文提出了一种用于稳定扑翼飞行过程的新型绝对三维重建方法。本质上,慢动作部分(如身体)和快动作部分(如翅膀)被分割开,分别用相移技术和傅里叶变换进行重建。利用翅膀和身体之间的拓扑关系来确保绝对三维重建。通过在不同扑翼速度下测试扑翼机器人,实验证明了我们计算框架的成功。