Capturing Cloth Geometry and Parameterization

This project presents a system to generate realistic cloth simulations by acquiring the geometry and a surface parameterization of real cloth from a captured video stream. Stereo processing with a technique for disparity map hole filling and smoothing is used to recover the geometry of the cloth. Image feature matching using SIFT features is combined with a surface interpolation method to determine a parameterization of the cloth surface. The resulting geometry from each frame is then re-textured using the parameterization to generate a virtual cloth simulation. 1