Feature-Based Human Model for Digital Apparel Design

Abstract

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 [TC] 2. The human body model consists of two layers: the skeleton and the cross-sections of each body part. Firstly, a simple skeleton model from the body scanner [TC] 2 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. Secondly, 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. Thirdly, 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

Combining 3D Interpolation, Regression, and Body Features to build 3D Human Data for Garment: An Application to Building 3D Vietnamese Female Data Model

“…Wang et al [1] proposed a method to create a parametric model based on the vital body sizes and Spline interpolation. To satisfy the garment or animation's requirement, the author presented two modules: the skeleton fitting and independent cross sections for each body part.…”

“… Statistics-Based Synthesis Model: This method generates a human body based on the investigation of the body shape distribution. However, this method does not have a true technique to build a new individual model from the input constraints [1,9]. www.ijacsa.thesai.org…”

“…From the above basic measurements, we build a set of measuring parameters to create a suitable 3D model in the field of costume design. This set of parameters includes 9 measurements of the circumference of the body, and 7 measurements of body length/width are shown in Table 3 [1,7].…”

“…To create a controllable human body model, we need to identify some key points on each slice and use these points to create a curve. To find the key points of each slice, we improved the technique which was introduced by Shuxia Wang [1] as follows:…”

“… This curve can be controlled by a tension parameter, with different tension parameter values creating different curves. Based on the experimental results as well as the results of Shuxia Wang [1], the tension parameter of -0.4 is suitable for the curve of the human body profile. The appropriateness is shown in the figures depicted below with the red "o" points as the raw data points on the slice scanned from the 3D Scanner, the red curve with the tension parameter of 0.8, the blue curve has a tension parameter of -1.6 and a black curve with a tension parameter of -0.4, Figure 12, 13.…”