A New Algorithm to Approximate Deforming Models Based on Torsion Detection

In this paper, we propose a new method to approximate deforming models based on torsion detection. We propose the use of surface torsion to represent local features on the original model, and consider it as an additional weight factor when calculating the edge contraction cost during the simplification process. The approximations of the original deforming models are generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame, the contraction order in the current frame is adjusted according to the deformation degree. Our approach is fast, easy to implement, and as a result good quality approximations with well-preserved fine details can be generated at any given frame.