Papers by Author: Sheng Feng Qin

Abstract: With the advance in 3D body scanning technology, it opens opportunities for virtual try-on and automatic made-to-measure in apparel products domain. This paper proposed a novel feature-based parametric method of human body shape from the cloud points of 3D body scanner [T². Firstly, we improved the skeleton construction through adding and adjusting the position of joints. Secondly, automatic extraction approach of semantic feature cross-sections is developed based on the hierarchy. According to the unique distribution of cloud points of each cross-section of each body part, the extraction method of key points on the cross-section is described. Thirdly, we presented an interpolation approach of key points which fit cardinal spline to cross-section for each body part, in which tension parameter is used to represent the simple deformation of body shape. Finally, a connection approach of body part is proposed by sharing a boundary curve. The proposed method has been tested with our virtual human model (VHM) system which is robust and easier to use. The process generally requires about five minutes for generating a full body model that represents the body shape captured by 3D body scanner. The model can be imported in a CAD environment for application to a wide variety of ergonomic analyses.

Abstract: To realize smooth manufacture of product with complex surface, a new algorithm, design for quality control (DQC), strongly connects design model and machining model. Geometry information in popular STL file in design industry was fast obtained and then exactly input into a grid-meshing model. For meeting precision requirement of machining model, quality-control parameter was employed to control subdivision times and the result-surface machining quality. Then the designed features of aesthetics surface or functional surface were kept in smooth manufacture with optimum quality. By self developed software for DQC in Visual C++, stability and reliability of this algorithm were proved.

Abstract: This paper presents a customer-centric strategy for e-manufacturing in apparel industry. This strategy integrates 3D body scanning and 3D visualising techniques to allow automatic pattern alterations, based not only on human body measurements, but also on the fabrics’ dynamic properties and features. The 3D virtual try-on integration will actually present the exact idolised avatar of the customer virtually dressed. Scan data and patterns will be automatically transferred through ERP web-enabled interfaces direct to the enterprise’s manufacturing operations and facilities, and will be stored separately for each customer in order to create its ID profile which will be applicable for future purchases or reorders.