2021
Sequential Depth Completion With Confidence Estimation for 3D Model Reconstruction
RA-L 2021
This letter addresses a depth-completion problem for sequential data to reconstruct 3D models of outdoor scenes. While many deep-learning-based approaches have recently achieved promising results, their results are not directly applicable to 3D modeling because of several reasons. First, most result