Efficient Cloth Model and Collisions Detection for Dressing Virtual People

This paper describes a fast technique for dressing virtual humans with different pieces of clothing. It exploits a mass-spring cloth model but applies a new velocity modification approach to overcome its super-elasticity. The algorithm for cloth-body collision detection and response is based on image-space interference tests, unlike most of the existing ones, which use objectspace checks. The modern workstations’ graphics hardware is used not only to compute the depth maps of the body contours but also to interpolate the body normal vectors. As a result the approach is very fast and makes it possible to sew a garment around a virtual human body in about a second.