Time varying surface reconstruction from multiview video

Abstract

We present a fast deformation-based method for building timevarying surface models of dynamic objects from multiview video streams. Starting from an initial mesh representation, the surface of a dynamic object is tracked over time, both in geometry and connectivity, based on multiview silhouette information via a mesh-based deformation technique. The resulting smooth time-varying surface is then represented as a mesh sequence that can efficiently be encoded in terms of mesh restructuring operations and small-scale vertex displacements along with the initial model. Another advantage of the proposed method is the ability to deal with dynamic objects that may undergo a nonrigid transformation. We demonstrate the performance of the presented method on a synthetic human body model sequence.