Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion

no code implementations • 24 May 2023 • Xingxing Zuo, Nan Yang, Nathaniel Merrill, Binbin Xu, Stefan Leutenegger

Incrementally recovering 3D dense structures from monocular videos is of paramount importance since it enables various robotics and AR applications.

CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth

no code implementations • 18 Dec 2020 • Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong liu, Marc Pollefeys, Guoquan Huang

In this work, we present a lightweight, tightly-coupled deep depth network and visual-inertial odometry (VIO) system, which can provide accurate state estimates and dense depth maps of the immediate surroundings.

Depth Estimation Depth Prediction +1