摘要
织物的悬垂性能测试多局限于二维测试,不能直观地反映织物的三维外观形态。提出了一种新型测试方法,能够直接扫描得到织物的三维外观形态。通过Kinect传感器从试样的多个位置获取深度图像,建立三维场景,通过C++编程和图像处理软件的处理,提取试样的悬垂性能指标。将其与传统测试法获取的悬垂性能指标作比较,发现两者具有高度的相关性,从而验证了用Kinect传感器扫描获取试样的悬垂性能指标的测试方法具备可行性。
Most fabric drape measurement methods are confined to be two-dimensional,and can＇t reflect intuitively 3Dshape of fabric.This paper proposes a new measurement method which could obtain 3D shape of fabric by scanning directly.This method obtains depth images of multiple locations of the specimen with Kinect sensor,establishes 3Dscenes,processes with C＋＋ programming and image processing software,and extracts drape indicator of the specimen.This indicator is highly consistent with that obtained by traditional measurement method,verifying that the measurement method of obtaining drape indicator of specimen by scanning with Kinect sensor is feasible.
出处
《浙江理工大学学报（自然科学版）》
2014年第3期306-309,328,共5页
Journal of Zhejiang Sci-Tech University(Natural Sciences)
