Generating High-Fidelity Texture in RGB-D Reconstruction using Patches Density Regularization

Xinqi Liu, Jituo Li, Guodong Lu

Abstract: Highlights•A texture mapping-based online RGB-D reconstruction framework to generate high-fidelity texture results.•A patches density regularization to solve the texture patches fragmentation problem and improve texture fidelity.•An incremental texture update strategy and hierarchical-aware seam leveling to significantly speed up the texture optimization.