This work aims to estimate 6Dof (6D) object pose in background clutter. Considering the strong occlusion and noise, we propose utilize spatial structure for better tackling this challenging task. Observing that 3D mesh can be naturally abstracted by a graph, build graph using points as vertices connections edges. We construct corresponding mapping from 2D image features filling fusion of featur...

Abstract Heterogeneity is a vital spatial feature for subsurface resource recovery predictions, such as mining grade tonnage functions, hydrocarbon factor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional engineered features like Dykstra-Parsons Lorenz coefficients ignore context; therefore, are not suf...