Abstract
This study used 3D scanning method to collect head and face anthropometric data of 300 Taiwanese males aged 18~30 years. In addition to the analysis of head shapes and face shapes, the precision and accuracy of the 3D head scanner were also evaluated in this study.Principal component analysis of head shapes was applied to obtain the important dimensions, including head length, total head height and head breadth. Clustering analysis was performed to identify four head shapes including: short-shallow-wide, short-shallow-narrow, long-deep-wide and long-deep-narrow. In addition, we established four head shape sizing systems with coverage over 93%. Moreover, this study used a reasonable deformation logic to rapidly change head shapes with at mean error 10.20 mm. This result can provide important reference for designing and manufacturing head products.Next, principal component analysis of face shapes was applied to obtain the important dimensions, including face length (morphologic face height), face breadth (bizygomatic breadth) and sellion to right tragion depth. Clustering analysis was performed to identify four face shapes including: long-shallow-narrow, short-shallow-narrow, long-deep-wide and short-deep-wide. In addition, we established two face shape sizing systems with coverage over 92%. Moreover, this study used a reasonable deformation logic to rapidly change face shapes with mean error around 7.49 mm. This results can provide useful information for designing and manufacturing face products.