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

摘要

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