2022 Volume 68 Issue 3 Pages 49-62
The 3D-dummy curved surface shape for the 3D custom-made garment design was automatically generated by using the 3D convex hulling method by Legendre transformation in the 3D-body of adult females (N = 1,471 and ages of 18 to 84). The 3D curvature gaps represent the different curvature values between the 3D-dummy and the 3D-body for the four curvatures using the concentrated Gaussian curvature Kc (Σ + Kc and Σ - Kc) and concentrated mean curvature Hc (Σ + Hc and Σ - Hc) in each of the 10 areas. Using the four 3D curvature gap values and the color maps in the 10 areas, the special information of the 3D-dummy curved surface shapes for making and designing garments, which are different from 3D-body curved surface shapes, were extracted. The mean values of the 3D-dummy shape were lower than those of the 3D-body shape in most areas, while the mean values of the convex Σ + Hc 3D curvature gaps in the lower areas of the 3D-dummy were higher than those of the 3D-body. The 3D curvature gap types of the 3D-dummy were extracted from the 9 clusters of the 30s, early 40s, elder 40s, and 50s groups. However, the 3D curvature gaps between the buttocks of both the 3D-dummy and the 3D-body were low values in the older age groups.
