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3D Adaptive Morphotype Mannequin for Target Population

Balkiss Hamad*, Moez Hamad, Sébastien Thomassey and Pascal Bruniaux

The aim of this paper is to present a design methodology to obtain parametric geometrical model of 3D virtual mannequin representing the human bodies of a target population. The morphological evolution of these bodies depends on the chosen sizes imposed by the needs of the apparel industry. The population is composed of a representative sample of 5108 women aged 18-65 years from the French measurement campaign in 2003. These women have been measured by a 3D body scanner to detect with a good precision the measurements of the bodies. The proposed method starts by choosing a person representing the morphology nearest to the morphotype of the population. The morphotype is characterized by specific measurements from the standard size of the measurement chart. A geometrical model associated with reverse engineering techniques have been realized to generate the 3D virtual parametric mannequin from the 3D body scanned of the morphotype. Then, the volume of the parametric mannequin is managed by the morphological evolution rules extracted from the measurement chart of the classification. These rules are directly applied on the di erent morphological curves which are either located on the anthropometric points or managed by anthropometric and proportion rules. These two sets of parameters are directly applied on the 3D human mannequin in order to manage his volume according to the di erent sizes with a good precision. Finally, the 3D shape of the mannequin is a surface model hung to a morphological curves network. This process guarantees a maximum e ciency and an exceptional morphological similarity of the morphotype when the parametric mannequin evolves from one size to another size.