DROT is a depth dataset created to test depth restoration, rectification and upsampling methods.
D. Rotman and G. Gilboa, “A depth restoration occlusionless temporal dataset,” in International Conference on 3D Vision (3DV). IEEE, 2016.
DROT is a depth dataset created to test depth restoration, rectification and upsampling methods.
D. Rotman and G. Gilboa, “A depth restoration occlusionless temporal dataset,” in International Conference on 3D Vision (3DV). IEEE, 2016.