A randomized marking scheme for continuous collision detection in simulation of deformable surfaces

Continuous collision detection techniques are applied extensively in the simulation of deformable surfaces, in particular for cloth simulation. Accurate contact information can be computed by using these techniques. Traditionally, for meshed surfaces, after collecting the triangle pairs that are potentially interacting, the feature pairs of these triangles are directly sent for the computation of collision information. Many feature pairs end up being processed repeatedly because a feature may be shared by more than one triangle. In this paper, we propose a randomized marking scheme to mark triangles and embed a feature filtering layer (FFL) in the pipeline of continuous collision detection. The purpose of the FFL is to extract potentially interacting feature pairs according to the marking of the triangles. By applying the FFL each interacting feature pair is processed exactly one time for the computation of collision information. On average, the number of potentially interacting feature pairs reduces significantly after filtering. We have integrated the FFL in a cloth simulation system. Interactive rates can be achieved for complex draping simulation.