IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution

Accurate depth estimation is crucial for many fields, including robotics, navigation, and medical imaging. However, conventional depth sensors often produce low-resolution (LR) depth maps, making detailed scene perception challenging. To address this, enhancing LR depth maps to high-resolution (HR)...

Full description

Saved in:
Bibliographic Details
Main Authors: Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
depth super-resolution
multimodal sensor fusion
convolutional neural networks
deep learning
Online Access:https://www.mdpi.com/1424-8220/25/1/24
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/1/24

Similar Items