Simulation of brassiere-wearing figures.

This article proposes a simulation method that combines a three-dimensional shape model of a human body with the genetic algorithm (GA) for estimating shape change of the breasts by wearing a brassiere. The model can describe trunk shape of any female with 750 control points for fitting the surface to many 3D points on the trunk surface. Because the model structure is common among women, their body shapes can be statistically analysed by using the control points. First, we related naked 230 breasts of 115 Japanese women with those wearing a full-cup brassiere through the multi-regression analysis. In this process, we searched the best regression formulas among a plethora of combinations of terms, or coordinates of the 49 control points on the naked models through the GA. Second, the regression formulas obtained above were applied to another 22 naked breasts to estimate their brassiere-wearing shape. Visual and numerical evaluation of the simulated shape revealed that this method could predict brassiere-wearing breast shape based on naked ones and could be expected to serve in a design process and for sales without the need to try on. [ABSTRACT FROM AUTHOR]