3 Dokumente gefunden

Neural network adaption for depth sensor replication

In recent years, various depth sensors that are small enough to be used with mobile hardware have been introduced. They provide important information for use cases like 3D reconstruction or in the context of augmented reality where tracking and camera data alone would be insufficient. However, depth…
Berlin: Springer, 2022-06-23

Point cloud upsampling and normal estimation using deep learning for robust surface reconstruction

The reconstruction of real-world surfaces is on high demand in various applications. Most existing reconstruction approaches apply 3D scanners for creating point clouds which are generally sparse and of low density. These points clouds will be triangulated and used for visualization in combination with…
[Sétubal]: SCITEPRESS - Science and Technology Publications, Lda., 2021