Dressing virtual humans from 3D scanned data

Yu, Hui, Qin, Sheng-feng and Wright, David (2008) Dressing virtual humans from 3D scanned data. In: 45th Annual Rocky Mountain Bioengineering Symposium and 45th International ISA Biomedical Sciences Instrumentation Symposium 2008, 4th - 6th April 2008, Copper Mountain, USA.

Full text not available from this repository.

Abstract

This paper presents a new approach to dressing three-dimensional virtual human models from scanned data. As the first step in this process, an algorithm is developed to obtain key body features and a reference skeleton. Due to the difference in body shape among various people, especially different ethnicities, we propose a two-step method for finding body feature points. Firstly, body feature regions are located through some pre-defined parameters defined by the proportion of head to body height. We adopt the idea of describing the body height as eight-heads tall. Secondly, body features are extracted within their corresponding regions. In the second step, garment patterns are constructed based on body features and the reference skeleton described above using two methods. One is a redial offset method the other is a swept surface method.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	3D scanned data, Dressing virtual humans, Garment generation, Semantic human model
Subjects:	G400 Computer Science W200 Design studies
Department:	Faculties > Arts, Design and Social Sciences > Design
Depositing User:	Paul Burns
Date Deposited:	12 Feb 2019 12:15
Last Modified:	10 Oct 2019 23:48
URI:	http://nrl.northumbria.ac.uk/id/eprint/37947

Downloads