Fabric Classification Using Three Dimensional Drape Model

摘要：

　　The paper presents a method of fabric hand classification through the exploration of three dimensional (3D) drape models objectively.Fabric drape models were developed using windows kinect scanners and point cloud data were processed with code developed in Matlab software to extract drape indicators.Thirty-seven woved fabrics were divided into different classes based on their tactile feel of fabrics softness and stiffness hand as a ground truth.Objectively processed fabric drape models were hierarchicaly clustered to match the subjective clusters of fabric hand.Results revealed that fabric drape indicators were able to classify (objectively) the unknown woven fabric samples in the same manner as did the subjectively judged hand attributes with 81% matching accuracy when processed on same fabric samples.These results will be a better reference in fabric hand evaluation from its drape vision for application such as online shopping and computer simulations.

关键词： Fabric classification Fabric 3D Drape model Principal component analysis

作者: Azmat Hussain Tayyab Naveed Amjad Farooq Shahid Siddique Zhicai Yu Ge Wu Yueqi Zhong

作者单位: College of Textiles, Donghua University, Shanghai 201620, China;Bahauddine Zakariya University Colle College of Textiles, Donghua University, Shanghai 201620, China Masood Textile Mills, Faisalabad College of Textiles, Donghua University, Shanghai 201620, China;Key Lab of Textile Science and Techn

会议类型: 国际会议

会议名称: 2018 Sino-Africa International Symposium on Textiles and Apparel (SAISTA2018)(2018中非纺织服装国际论坛)

会议地点: 巴赫达尔

会议语种:英文

页码: 268-272

在线出版日期: 2018-09-15（万方平台首次上网日期，不代表论文的发表时间）