Occlusion-Aware Video Registration for Highly Non-Rigid Objects Supplementary Material

Occlusion-Aware Video Registration for Highly Non-Rigid Objects Supplementary Material
Bertram Taetz, Gabriele Bleser, Vladislav Golyanik, Didier Stricker
Tech Report

Abstract:

To give additional insight into our proposed method we present the optimization methods that we used to minimize the proposed energies of the occlsion-aware multi-frame optical flow (MFOF) as well as the global denoising of the occlusion probability maps. Furthermore, we added further examples, including dense NRSfM reconstructions, to demonstrate the capabilities of the proposed method.