Guided Depth Map Super-Resolution Using Recumbent Y Network

Guided Depth Map Super-Resolution Using Recumbent Y Network

Low spatial resolution is a well-known problem for depth maps captured by low-cost consumer depth cameras. Depth map super-resolution (SR) can be used to enhance the resolution and improve the quality of depth maps. In this paper, we propose a recumbent Y network (RYNet) to integrate the depth infor...

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Bibliographic Details
Main Authors: Tao Li, Xiucheng Dong, Hongwei Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Depth map super-resolution
convolutional neural network
UNet network
atrous spatial pyramid pooling
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9134754/

Internet

https://ieeexplore.ieee.org/document/9134754/

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