A Novel Shape Restoration Algorithm for Ultra-Fast Morphology Perception

In this paper, we present a novel surface reconstruction algorithm leveraging curvatures and lengths between discrete points. By integrating this algorithm with a shape sensing system, we achieve high-speed measurement of wing shapes. The simulation and experimental results clearly demonstrate the effectiveness of our proposed algorithm in restoring preset curves. The average relative error is found to be at a remarkable level of 10
^-2
, while the average running time remains at an impressive level of 10
^-2
s. Additionally, through static and dynamic shape perception performed by the shape sensing system, we observe a relative error of 4.85% when subjecting the simulated wing to uniform tension, and a relative error of 3.1% under twisted tension conditions. These findings confirm the capability of our experimental device to accomplish rapid morphological monitoring at an impressive frequency of 505 kHz.