High-Fidelity Depth Upsampling Using the Self-Learning Framework
This paper presents a depth upsampling method that produces a high-fidelity dense depth map using a high-resolution RGB image and LiDAR sensor data. Our proposed method explicitly handles depth outliers and computes a depth upsampling with confidence information. Our key idea is the self-learning fr...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Multidisciplinary Digital Publishing Institute
2019
|
| Online Access: | http://hdl.handle.net/1721.1/120468 https://orcid.org/0000-0003-0468-1571 |