National Research Council of Canada. Information and Communication Technologies
Cameras; Deformation; Geometry; Stereo image processing; Depth camera; Geometry processing; Linear finite elements; Low qualities; Nonlinear deformations; Prior information; Stereo cameras; Surface tracking; Finite element method; deformation; finite element method; geometry; linear programing; nonlinearity; simulation; surface
We present an approach to robustly track the geometry of an object that deforms over time from a set of input point clouds captured from a single viewpoint. The deformations we consider are caused by applying forces to known locations on the object's surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a linear finite element method to predict the deformation. This allows the accurate reconstruction of both the observed and the unobserved sides of the object. We present tracking results for noisy low-quality point clouds acquired by either a stereo camera or a depth camera, and simulations with point clouds corrupted by different error terms. We show that our method is also applicable to large non-linear deformations.