@inproceedings {1621,
	title = {Evaluation of 3D Body Shape Predictions Based on Features},
	booktitle = {6th International Conference on 3D Body Scanning Technologies},
	year = {2015},
	pages = {258-265},
	address = {Lugano, Switserland},
	abstract = {The human body comes in many sizes and shapes. For design purposes, it is useful to be able to quickly simulate a virtual mannequin of a customer. A statistical shape model can be used for this purpose, because it describes the main variations of body shape inside the model{\textquoteright}s population. From this model, the specific features of each person in the population are known. Therefore, a mapping between the shape model parameters and specific features can be calculated, which allows adjusting the body shape, in an intuitive way. In this work, we have investigated how accurate a body shape can be predicted based on a set of features and which features are most suitable for this purpose. Height, weight, and hip circumference appeared to be the most suitable features to accurately predict the body shape.},
	keywords = {body features, shape prediction},
	doi = {10.15221/15.258},
	author = {Femke Danckaers and Toon Huysmans and Daniel Lacko and Jan Sijbers}
}
