Title
Evaluation of 3D body shape predictions based on featuresEvaluation of 3D body shape predictions based on features
Author
Faculty/Department
Faculty of Sciences. Physics
Faculty of Sciences. Mathematics and Computer Science
Faculty of Design Sciences
Research group
Vision lab
Product development
Publication type
conferenceObject
Publication
S.l. , [*]
Subject
Physics
Source (book)
6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland
1
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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 models 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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/d7a4d9/132055.pdf
Handle