Abstract-Three-dimensional (3D) body scanning technology opens opportunities for virtual try-on and automatic made-to-measure apparel design. This paper proposes a new feature-based parametric method for modeling human body shape from scanned point clouds of a 3D body scanner . The human body model consists of two layers: the skeleton and the cross sections of each body part. First, a simple skeleton model from the body scanner system has been improved by adding and adjusting the position of joints in order to better address some fit issues related to body shape changes such as spinal bending. Second, an automatic approach to extracting semantic features for cross sections has been developed based on the body hierarchy. For each cross section, it is described by a set of key points which can be fit with a closed cardinal spline. According to the point distribution in point clouds, an extraction method of key points on cross sections has been studied and developed. Third, this paper presents an interpolation approach to fitting the key points on a cross section to a cardinal spline, in which different tension parameters are tested and optimized to represent simple deformations of body shape. Finally, a connection approach of body parts is proposed by sharing a boundary curve. The proposed method has been tested with the developed virtual human model (VHM) system which is robust and easier to use. The model can also be imported in a CAD environment for other applications. Note to Practitioners-Automatic made-to-measure for mass customization has become one of the important developments for the apparel industry. 3D body scanning technologies are used to capture a virtual clone of an individual human body model for mass customization. However, these methods have failed to overcome two critical problems. First, the extremely expensive cost of the equipment prevents it from wide applications in garment industry. Second, the data format either in the original point clouds or simplified mesh models is not easily to be linked to a parametric model, which can be automatically modified to different shapes by the user parameter inputs. For this reason, this paper intended to build a parametric human body model, which can represent an individual body by inputting some key dimensions which is more than the traditional manual measures but drastically fewer than the 3D body scanner data. Index Terms-Apparel design, apparel-fit-to-body issues, human body modeling, parametric modeling.
Wang et al. REF proposed a method to create a parametric model based on the vital body sizes and Spline interpolation.
Feature-Based Human Model for Digital Apparel Design
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering
Computer Science