Efficient clothing fitting from data
Files
Date issued
2004
Journal Title
Journal ISSN
Volume Title
Publisher
UNION Agency
Abstract
A major drawback of shopping for clothes on-line is that the customer cannot try on clothes and see if they fit or
suit them. One solution is to display clothing on an avatar, a 3D graphical model of the customer. However the
normal technique for modeling clothing in computer graphics, cloth dynamics, suffers from being too processor
intensive and is not practical for real time applications. Hence, retailers normally rely on a fixed set of body
models to which clothes are pre-fitted. As the customer has to choose from this limited set the fit is typicallly not
very representative of how the real clothes will fit. We propose a method that uses a compromise between these
two methods. We generate a set of example avatars by performing Principal Component Analysis on a dataset of
avatars. Clothes are pre-fitted to these examples off-line. Instead of asking the customer to choose from the set of
examples we are able to represent the users avatar as a weighted sum of the examples, we then fit clothes as the
same weighted sum over the clothes fitted to the examples.
Description
Subject(s)
3D grafické modely, virtuální oblečení, e-obchod
Citation
Journal of WSCG. 2004, vol. 12, no. 1-3, p. 129-136.