A realistic, stop-motion animatied dataset with dense ground truth.
Evaluating Non-rigid feature matching and Non-Rigid Structure From Motion (NRSfM) algorithms in a quantitative manner has proven to be problematic. The central problem of providing reference ground truth for comparison has been approached from many different angles. Synthetic, rendered imagery and MOCAP data both provide such reference, but fail to capture the true complexity and variety of realistic NRSFM deformations. Therefore, there is a lack and a need for a real-life NRFSM sequence with a dense, accurate ground truth. That need will be addressed in this project.