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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Bibliografiske detaljer

Principais autores:	Tao Li, Xiucheng Dong, Hongwei Lin
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2020-01-01
Serier:	IEEE Access
Fag:	Depth map super-resolution convolutional neural network UNet network atrous spatial pyramid pooling attention mechanism
Online adgang:	https://ieeexplore.ieee.org/document/9134754/
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