Fit evaluation of virtual garment try-on by learning from digital pressure data

作者：

Highlights：

• A remote garment fit evaluation model using machine-learning technique is proposed to estimate garment fit without any real try-on.

• Digital clothing pressures, generated from a 3D garment CAD software, were taken into account during the remote garment fit evaluation.

• Our proposed model has significance in garment e-shopping.

摘要

•A remote garment fit evaluation model using machine-learning technique is proposed to estimate garment fit without any real try-on.•Digital clothing pressures, generated from a 3D garment CAD software, were taken into account during the remote garment fit evaluation.•Our proposed model has significance in garment e-shopping.

论文关键词：Digital clothing pressure,Support vector machines,Naive Bayes,Active learning,Ease allowance,Real try-on

论文评审过程：Received 25 March 2016, Revised 29 June 2017, Accepted 2 July 2017, Available online 3 July 2017, Version of Record 4 September 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.07.007