Self-collision Detection using Sphere Chains
Francisco A. Madera, Enrique Ayala Franco, Francisco Moo-Mena · 2015
An algorithm to detect self-collisions in a human object is presented. We proposed to approximate the human object by spheres, which are placed inside the object mesh to fill the correspondent volume. We introduce the concept of sphere chain, a set of joined spheres which contains some regions of the human mesh. The object is approximated by several chains in the preprocessing stage to be prepared for the running stage to perform the collision detection.