Evaluation of 3D Body Shape Predictions Based on Features

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’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.

[1]  Peter Blanchonette,et al.  Jack Human Modelling Tool: A Review , 2010 .

[2]  Chang Shu,et al.  Estimating 3D human shapes from measurements , 2012, Machine Vision and Applications.

[3]  Zoran Popovic,et al.  The space of human body shapes: reconstruction and parameterization from range scans , 2003, ACM Trans. Graph..

[4]  Gábor Székely,et al.  Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research , 2012, Medical Image Anal..

[5]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[6]  Miss A.O. Penney.  (b) , 1974, The New Yale Book of Quotations.

[7]  Jan Sijbers,et al.  Correspondence Preserving Elastic Surface Registration with Shape Model Prior , 2014, 2014 22nd International Conference on Pattern Recognition.

[8]  Mehran Armand,et al.  Supervised Learning of Anatomical Structures Using Demographic and Anthropometric Information , 2013, ICPRAM.

[9]  Zheng Liu,et al.  Predicting detailed body sizes by feature parameters , 2014 .

[10]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[11]  Jan Sijbers,et al.  Evaluation of an anthropometric shape model of the human scalp. , 2015, Applied ergonomics.

[12]  Andreas Seidl,et al.  Ramsis - The Leading Cad Tool for Ergonomic Analysis of Vehicles , 2007, HCI.

[13]  Xiao Ma,et al.  3D foot prediction method for low cost scanning , 2014 .

[14]  Matthew P Reed,et al.  Parametric body shape model of standing children aged 3–11 years , 2015, Ergonomics.

[15]  Guillermo Ayala,et al.  Modeling of female human body shapes for apparel design based on cross mean sets , 2014, Expert Syst. Appl..