Learning across views for stereo image completion

Learning across views for stereo image completion

Stereo image completion (SIC) is to fill holes existing in a pair of stereo images. SIC is more complicated than single image repairing, which needs to complete the pair of images while keeping their stereoscopic consistency. In recent years, deep learning has been introduced into single image repai...

Full description

Bibliographic Details
Main Authors: Wei Ma, Mana Zheng, Wenguang Ma, Shibiao Xu, Xiaopeng Zhang
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:IET Computer Vision
Subjects:
convolutional neural network layers
stereo‐interactive completion
cross‐view consistent completion
stereo image completion
single image repairing
deep learning
Online Access:https://doi.org/10.1049/iet-cvi.2019.0775

Internet

https://doi.org/10.1049/iet-cvi.2019.0775

Similar Items