Three-Dimensional Modeling of Carbon Fiber Cloth Surface from Dense and Scattered Points Cloud

Fabric surface analysis, as part of fabric analysis, is very important for the textile manufacturing process and is traditionally based on human-labor or image processing which is a conventional automatic method. However, image quality is influenced by ambient light, background light and optical properties of the surface. In this paper, we present a three dimensional modeling techniques for the reconstruction of carbon-fiber fabric surface. Firstly, a dense and scattered points cloud is collected using 3D laser scanning system after necessary data quality analysis. Secondly, the original points cloud is preprocessed according to classification. Finally, three-dimensional fabric surface model is reconstructed using screened Poisson reconstruction algorithm. The experimental results show that the reconstructed model is acceptable.