Abstract
Recently, human body modeling or human pose modeling is a hot topic in many studies. Several statistical methods have been proposed for biometrical analysis and computer graphics, and few works for apparel. In this study, we propose a statistical method which reconstructs human body shapes from height or various semantic values, e.g., height, waist-girth and chest girth, and takes dispersion of human body shapes into account using principal component analysis and regression model.
