Tekstilec (Dec 2018)
Complexity of 3D human body scan data modelling
Abstract
3D scanning technology and contemporary CAD systems have enabled various applications of scan data for different industries. 3D scan data have become the basis for the highly accurate digital representation of objects. CAD systems, on the other hand, enabled scan data restoration and modifi cation in order to get precise 3D models. Apart from being used in industries such as engineering and the automotive industries, CAD systems are today used by the textile and the apparel industry. However, there is a great deal of complexity in reconstructing and modelling 3D scan data of the human body. 3D scan data of the human body can be converted into a triangle mesh, while the CAD restoration process is performed using reverse engineering techniques in order to create a realistic model. Reverse engineering techniques involve the extraction of information about manufactured products. The conversion of data regarding the human body acquired by 3D scanning into a CAD model is a complex direct method. The 3D scan data processing of the human body requires a great deal of knowledge of the basic human anatomy, as the human body has an extremely complex geometry. The reverse modelling procedure is extremely multiplex and time consuming due to the large amount of details, while the workfl ow involved in restoring 3D scan data to even begin the reverse engineering process is complex. In recent studies, non-contact 3D body scanning, together with 3D CAD reverse engineering, could be applied for precise volume measurements for microclimatic volume and area quantifi cation, as the reconstructed model of the human body can serve for the further analysis of the thermal insulation properties of clothing in relation to the volume of air trapped between layers.
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