Depth Map Super-Resolution Using Guided Deformable Convolution

Depth Map Super-Resolution Using Guided Deformable Convolution

Depth maps acquired by low-cost sensors have low spatial resolution, which restricts their usefulness in many image processing and computer vision tasks. To increase the spatial resolution of the depth map, most state-of-the-art depth map super-resolution methods based on deep learning extract the f...

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Bibliographic Details
Main Authors: Joon-Yeon Kim, Seowon Ji, Seung-Jin Baek, Seung-Won Jung, Sung-Jea Ko
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
depth map
super-resolution
Online Access:https://ieeexplore.ieee.org/document/9420066/

Internet

https://ieeexplore.ieee.org/document/9420066/

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